Publications

Selected Journal Papers

1. Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, and Chin-Teng Lin, “Multigranulation Super-Trust Model for Attribute Reduction,” IEEE Transactions on Fuzzy Systems, 2021, 29(6): 1395-1408. doi:10.1109/ TFUZZ.2020.2975152.  

2. Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, and Jiandong Wang, “A layered- coevolution-based attribute-boosted reduction using adaptive quantum behavior PSO and its consistent segmentation for neonates brain tissue,” IEEE Transactions on Fuzzy Systems, 2018, 26 (3): 1177-1191. doi:10.1109/TFUZZ.2017.2717381. 

3. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Witold Pedrycz, “Multimodal Infant Brain Segmentation by Fuzzy-informed Deep Learning,” IEEE Transactions on Fuzzy Systems, 2022, 30(4): 1088-1101. doi:10.1109/TFUZZ.2021. 3052461. 

4. Weiping Ding, Chin-Teng Lin, and Witold Pedrycz, “Multiple relevant feature ensemble selection based on multilayer co-evolutionary consensus MapReduce,” IEEE Transactions on Cybernetics, 2020, 50(2): 425-439. doi:10.1109/TCYB.2018. 2859342.  

5. Weiping Ding, Chin-Teng Lin, and Zehong Cao, “Shared Nearest-neighbor Quantum Game-based Attribute Reduction with Hierarchical Coevolutionary Spark and Its Consistent Segmentation Application in Neonatal Cerebral Cortical Surfaces,” IEEE Transactions on Neural Networks and Learning Systems, 2019, 30 (7): 2013-2027. doi:10.1109/TNNLS. 2018.2872974.

6. Weiping Ding, Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das and Soumen Banerjee, “An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 from Radiological Images,” IEEE Transactions on Fuzzy Systems, 2022, 30(8): 2902-2914. doi:10.1109/TFUZZ.2021. 3097806.

7. Weiping Ding, Chin-Teng Lin, and Zehong Cao, “Deep neuro-cognitive co-evolution for fuzzy attribute reduction by quantum leaping PSO with nearest-neighbor memeplexes,” IEEE Transactions on Cybernetics, 2019, 49(7): 2744-2757. doi:10.1109/TCYB.2018. 2834390.

8. Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Senbo Chen, and Zhijin Guan, “Attribute equilibrium dominance reduction accelerator (DCCAEDR) based on distributed co-evolutionary cloud and its application in medical records,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 46(3): 384-400. doi:10.1109/ TSMC.2015.2464787.

9. Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, and Manohar Mishra, “Fuzzy and Real Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment,” IEEE Transactions on Industrial Informatics, 2021,17(6): 4298-4307. doi: 10.1109/ TII.2020.3007419. 

10. Weiping Ding, Ming Li, Ying Sun, Jun Liu, Hengrong Ju, Jiashuang Huang, and Chin-Teng Lin, “A Novel Spark-based Attribute Reduction and Neighborhood Classification for Rough Evidence,”IEEE Transactions on Cybernetics, 2024,54(3): 1470-1483. doi: 10.1109/TCYB. 2022.3208130

11. Weiping Ding, Mohamed Abdel-Basset, Khalid A.Eldrandaly, Laila Abdel-Fatah, and Victor Hugo C. de Albuquerque, “Smart Supervision of ‎ Cardiomyopathy based on Fuzzy Harris Hawks Optimizer ‎ and Wearable ‎ Sensing Data Optimization: A New Model,” IEEE Transactions on Cybernetics, 2021,51(10): 4944-4958. doi: 10.1109/TCYB.2020.3000440  . 

12. Weiping Ding, Isaac Triguero, and Chin-Teng Lin, “Co-evolutionary Fuzzy Attribute Order Reduction and Classification Learning with Complete Attribute-value Space Tree,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 130-142. doi:10.1109/TETCI.2018. 2869919.  

13. Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo, “Special Issue on Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 2-5. doi: 10.1109/ TETCI.2021.3049701. 

14. Weiping Ding, Yurui Ming, Zehong Cao, and Chin-Teng Lin, “A Generalized Deep Neural Network Approach for Digital Watermarking Analysis,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2022,6(3): 613-627. doi: 10.1109/TETCI. 2021. 3055520.  

15. Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue, “Evolutionary Computation Meets Deep Learning,” IEEE Transactions on Evolutionary Computation, 2021, 25(5): 810-814. doi:10.1109/TEVC.2021.3096336.  

16. Weiping Ding, Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das and Soumen Banerjee, “An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 from Radiological Images,” IEEE Transactions on Fuzzy Systems,  2022,30(8): 2902-2914. doi:10.1109/TFUZZ.2021. 3097806.   

17. Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue, “Guest Editorial Evolutionary Computation Meets Deep Learning,”  IEEE Transactions on Evolutionary Computation,  2021, 25(5): 810-814. doi:10.1109/TEVC. 2021. 3096336.  

18. Weiping Ding,  Mohamed Abdel-Basset, Hossam Hawash,  Osama M. Elkomy, “MT-nCov-Net: Multi-Task Deep Learning Framework for Efficient Diagnosis of COVID-19” IEEE Transactions on Cybernetics,  doi: 10.1109/TCYB. 2021.3123173  . 

19. Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, and Jiucheng Xu, “Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multi-Granulation Rough Sets,” IEEE Transactions on Fuzzy Systems, 2021, 29(1): 19-33. doi:10.1109/TFUZZ. 2020.2989098  .  (Highly Cited Paper) 

20. Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, and Jiucheng Xu，“Feature Selection with Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy,” IEEE Transactions on Fuzzy Systems, 2022, 30(5): 1197-1211.  doi:10.1109/TFUZZ.2021. 3053844  .

21. Cuiping Cheng, Weiping Ding, Fuyuan Xiao, and Witold Pedrycz, “A Majority Rule based Measure for Atanassov Type Intuitionistic Membership Grades in MCDM,” IEEE Transactions on Fuzzy Systems. 2022, 30(1): 121-132. doi:10.1109/TFUZZ.2020.3033062.  

22. Liming Fang, Xinyu Yun, Changchun Yin, Weiping Ding, Lu Zhou, Zhe Liu, and Chunhua Su, “ANCS: Automatic NXDomain Classification System based on Incremental Fuzzy Rough Sets Machine Learning,” IEEE Transactions on Fuzzy Systems, 2021, 29 (4): 742-756. doi:10.1109 /TFUZZ.2020. 296587. 

23. Renato W. R. de Souza, Joao V. C. de Oliveira, Leandro A. Passos, Weiping Ding, Joao P. Papa, and Victor Hugo C. de Albuquerque, “A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic,” IEEE Transactions on Fuzzy Systems, 2020, 28 (12): 3076-3086. doi: 10.1109/TFUZZ.2019.2949771  .

24. Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, and Wei Wang, “Street View Text Recognition with Deep Learning for Scene Understanding in Intelligent Transportation Systems,” IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2020. 3017632.  

25. Ganeshsree Selvachandran, Shio Gai Quek, Luong Thi Hong Lan, Le Hoang Son, Nguyen Long Giang, Weiping Ding, Mohamed Abdel-Basset, and Victor Hugo C. de Albuquerque,  “A New Design of Mamdani Complex Fuzzy Inference System for Multi-attribute Decision Making Problems,” IEEE Transactions on Fuzzy Systems,  2021, 29 (4): 716-730. doi:10.1109/TFUZZ. 2019.2961350    (Highly Cited Paper) 

26. Junqin Huang, Linghe Kong, Hong-Ning Dai, Weiping Ding, Long Cheng, Guihai Chen, Xi Jin, and Peng Zeng, “Blockchain Based Mobile Crowd Sensing in Industrial Systems,” IEEE Transactions on Industrial Informatics, 2020, 16(10): 6553-6563, doi:10.1109/TII. 2019.2963728.  

27. Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, and Weiping Ding, “Fusing Fuzzy Monotonic Decision Trees,” IEEE Transactions on Fuzzy Systems, 2020, 28 (5): 887-900. doi: 10.1109/ TFUZZ.2019.2953024.

28. Muhammad Sajjad, Irfan Tahir, Khan Muhammad, Javier Del Ser, Javier Sanchez-Medina, Sergey Andreev, Weiping Ding, and Jong Weon Lee, “An Efficient and Scalable Simulation Model for Autonomous Vehicles with Economical Hardware,” IEEE Transactions on Intelligent Transportation Systems, 2021, 22(3): 1718-1732. doi: 10.1109/TITS. 2020.2980855  .

29. Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, and Tung-Ping Su, “Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG,” IEEE Transactions on Biomedical Engineering, 2019, 66(6): 1668-1679. doi:10.1109/TBME.2018.2877651.  

30. Mukesh Prasad, Chin-Teng Lin, Dong-Lin Li, Chao-Tien Hong, Weiping Ding, and Jyh-Yeong Chang, “Soft-boosted self-constructing neural fuzzy inference network,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(3): 584-588. doi:10.1109/TSMC.2015. 

31. Muhammad Sajjad , Ijaz Ul Haq , Jaime Lloret, Weiping Ding, and Khan Muhammad, “Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment,” IEEE Transactions on Industrial Informatics, 2019,15(12): 6541-6550. doi: 10.1109/TII.2019. 2921652  

32. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly and Weiping Ding, “A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject Specific Tasks,” IEEE Transactions on Cognitive and Developmental Systems, doi:10.1109/TCDS.2020.3040438.

33. Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, and Qingfu Zhang, “Evolutionary Deep Fusion Method and Its Application in Chemical Structure Recognition” IEEE Transactions on Evolutionary Computation, 2021,25(5): 883-893. doi: 10.1109/ TEVC. 2021.3064943 

34. Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, and Xin Yao, “Consensus learning for distributed fuzzy neural network in big data environment,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 29-41. doi: 10.1109/TETCI. 2020.2998919  .

35. Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andrew, Wei-Ping Ding, Chin-Teng Lin, and Mukesh Prasad. “On the utility of Power Spectral Techniques with feature selection Techniques for Effective Mental Task Classification in Non-invasive BCI,” IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2021,51(5): 3080-3092. doi: 10.1109/ TSMC.2019.2917599.

36. Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, and Gong-Shen Liu, “Large-Scale Malicious Software Classification with Fuzzified Features and Boosted Fuzzy Random Forest,” IEEE Transactions on Fuzzy Systems. 2021, 29(11): 3205-3218. doi: 10.1109/TFUZZ.2020. 3016023  

37. Bo’zena Małysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, and Dariusz Mrozek, “High-Efficient Fuzzy Querying with HiveQL for Big Data Warehousing,” IEEE Transactions on Fuzzy Systems.  2022, 30(6): 1823-1837. doi:10.1109/ TFUZZ. 2021.3069332. 

38. Jianming Zhan, Jin Ye, Weiping Ding, Peide Liu, “A novel three-way decision model on utility theory in incomplete fuzzy decision systems” IEEE Transactions on Fuzzy Systems. 2022, 30(7): 2210-2216. doi:10.1109/TFUZZ.2021.3078012.   

39. Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, and Weiping Ding, “CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network,” IEEE Transactions on Evolutionary Computation. 2021,25(5): 986-1000. doi: 10.1109/TEVC.2021. 3068842. arXiv:2008. 09388v1 [cs.CV] 21 Aug 2020.   

40. Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee, "DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays," CoRR abs/2104.04006 (2021)

41. Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, Han-Chieh Chao,"Explainable Fuzzy Utility Mining on Sequences," IEEE Transactions on Fuzzy Systems. doi:10.1109/ TFUZZ.2021.3089284.  CoRR abs/2103.16519 (2021). 

42. Jing He, Lei Shen, Yudong Yao, Huaxia Wang, Member, Guodong Zhao, Xiaowei Gu, and Weiping Ding, “Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) ,” IEEE Transactions on Emerging Topics in Computational Intelligence,  doi: 10.1109/TETCI. 2021.3097734  .

43. Jinkun Chen, Yaojin Lin, Jusheng Mi, Shaozi Li, and Weiping Ding, “A Spectral Feature Selection Approach with Kernelized Fuzzy Rough Sets,” IEEE Transactions on Fuzzy Systems, 2022,30(8): 2886-2901. doi: 10.1109/TFUZZ.2021.3096212  . 

44. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly and Weiping Ding, “Towards the Development of Versatile Brain-Computer Interfaces,” IEEE Transactions on Artificial Intelligence,  2021, 2(4): 314-328. doi:10.1109/ TAI.2021.3097307.

45. Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Fan, “Feature selection with fuzzy-rough minimum classification error criterion,” IEEE Transactions on Fuzzy Systems, 2022, 30(8): 2930-2942. doi: 10.1109/TFUZZ.2021.309  7811.  

46. Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, and Wei Wang, “Character-level Street View Text Spotting Based on Deep Multi-Segmentation Network for Safer and Smarter Autonomous Driving” IEEE Transactions on Artificial Intelligence, 2022, 3(2): 297-308.  doi: 10.1109/TAI.2021.3116216.

47. Shuai Liu, Shuai Wang, Xinyu Liu, Jianhua Dai, Khan Muhammad, Amir H. Gandomi, Weiping Ding, Mohammad Hijji, Victor Hugo C.de Albuquerque,  “Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring,”  IEEE Internet of Things Journal,  doi: 10.1109/JIOT.2022.3142115 

48. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Naveed ur Rehman,  Weiping Ding, Gaoxi Xiao. "Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition," IEEE Transactions on Emerging Topics in Computational Intelligence. doi: 10.1109/TETCI.2022.3147030  

49. Linyao Yang, Chen Lv, Xiao Wang, Ji Qiao, Weiping Ding, Jun Zhang, and Fei-Yue Wang,  “Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs,” IEEE/CAA Journal of Automatica Sinica. 2022, 9(11): 1990–2004. doi: 10.1109/JAS.2022.105947.

50. Zuowei Zhang, Songtao Ye, Yiru Zhang, Weiping Ding, and Hao Wang, “Belief combination of classifiers for incomplete data,” IEEE/CAA Journal of Automatica Sinica，2022, 9(4): 652-667. doi: 10.1109/JAS.2022.105458.

51. Xudong He, Jian Wang, Jiqiang Liu,  Weiping Ding*,  Zhen Han, Bin Wang, Jamel Nebhen, Wei Wang, “DNS Rebinding Threat Modelling and Security Analysis for Local Area Network of Maritime Transportation Systems,” IEEE Transactions on Intelligent Transportation Systems, 2023,24(2):2643-2655. doi:10.1109/TITS.2021.3135197.

52. Diego García-Zamora, Alvaro Labella,  Weiping Ding, Rosa M. Rodríguez, Luis Martínez López, “Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis” IEEE IEEE/CAA Journal of Automatica Sinica， 2022, 9(6): 949-966. DOI: 10.1109/JAS.2022.105617.

53. Shiming Chen, Ziming Hong, Guosen Xie, Qinmu Peng, Xinge You, Weiping Ding, and Ling Shao, “GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning,” IEEE Transactions on Neural Networks and Learning Systems,  DOI:10.1109/TNNLS. 2022.3155602

54. Fang-Qi Li, Rui-Jie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding, “Online Intrusion Detection for IoT Systems with Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers,”  IEEE Transactions on Fuzzy Systems, 2022,30(11):4605-4617. doi:10.1109 /TFUZZ.2022.3165390

55. Di Jin, Tao Wang, Rui Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz, “ Amer: A New Attribute-Missing Network Embedding Approach,” IEEE Transactions on Cybernetics,   2023, 53(7): 4306-4319. doi:10.1109/TCYB.2022.3166539  

56. Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding, “An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2023,7(11): 76-88. doi:  10.1109/TETCI.2022. 3171784  

57. Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, and Jixiang Du, “Fuzzy mutual information-based multi-label feature selection with label dependency and streaming labels,” IEEE Transactions on Fuzzy Systems,  2023,31(1): 77-91. doi:10.1109/TFUZZ.2022. 3182441  

58. Wentao Liu, Xiaolong Xu, Lianxiang Wu, Lianyong Qi, Alireza Jolfaei, Weiping Ding, Mohammad R. Khosravi, “Intrusion Detection for Maritime Transportation Systems with Batch Federated Aggregation,” IEEE Transactions on Intelligent Transportation Systems,  2023, 24(2): 2503-2514. doi:10.1109/TITS. 2022.3181436 

59. Qiong Chen, Weiping Ding, Xiaomeng Huang, and Hao Wang, “Generalized Interval Type II Fuzzy Rough Model Based Feature Discretization Oriented to Mixed Pixels,” IEEE Transactions on Fuzzy Systems，2023, 31(3): 845-859. doi:10.1109/TFUZZ. 2022.3190625.  

60. Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour. Yengejeh, “Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View,”  IEEE/CAA Journal of Automatica Sinica, 2022, 9(8): 1384-1405. doi: 10.1109/JAS.2022.105740.

61. Yangyang Zhao, Fuyuan Xiao, Masayoshi Aritsugi, Weiping Ding, “A Quantum Tanimoto Coefficient Fidelity for Entanglement Measurement,” IEEE/CAA Journal of Automatica Sinica, 2023,10(2) 439-450. doi:10.1109/JAS.2022.106079.

62.  Jianming Zhan, Jiajia Wang, Weiping Ding, Yiyu Yao, “Three-way Behavioral Decision Making with Hesitant Fuzzy Information Systems：Survey and Challenges,”  IEEE/CAA Journal of Automatica Sinica, 2023, 10(2): 330-350.  DOI: 10.1109/JAS.2022.106061

63. Weihua Xu, Yanzhou Pan, Xiuwei Chen, Weiping Ding,  and Yuhua Qian, “A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets,” IEEE Transactions on Big Data, DOI 10.1109/TBDATA.2022.3215494

64. Chuansheng Liu , Weiping Ding, Chun Cheng, Cheng Tang, Jiashuang Huang , and Haipeng Wang, “DenseHashNet: A Novel Deep Hashing for Medical Image Retrieval,”  IEEE Journal of Radio Frequency Identification, doi:10.1109/JRFID.2022.3209986

65. Weihua Xu, Doudou Guo, Yuhua Qian,  Weiping Ding,  “Two-way Concept-cognitive Learning Method: A Fuzzy-based Progressive Learning”, IEEE Transactions on Fuzzy Systems, 2023,31（6):1885-1899. DOI 10.1109/TFUZZ.2022.3216110  

66. Yonglin Tian, Yu Shen, Xiao Wang, Jiangong Wang, Kunfeng Wang, Weiping Ding,  Zilei Wang, and Fei-Yue Wang, “Learning Lightweight Dynamic Kernels with Attention Inside via Local and Global Fusion,”  IEEE Transactions on Neural Networks and Learning Systems, Accepted and to be appeared 

67. Wentao Li, Shichao Zhai, Weihua Xu, Witold Pedrycz,Yuhua Qian, Weiping Ding, and Tao Zhan, “Feature Selection Approach Based on Improved Fuzzy C-Means with Principle of Refined Justifiable Granularity” IEEE Transactions on Fuzzy Systems , DOI: 10.1109/TFUZZ.2022. 3217377  

68. Lin Sun, Tianxiang Wang,  Weiping Ding, and Jiucheng Xu, “Partial Multilabel Learning Using Fuzzy Neighbourhood-Based Ball Clustering and Kernel Extreme Learning Machine,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2022.3222941  

69. Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai, “Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning, ” IEEE Transactions on Emerging Topics in Computational Intelligence, DOI:10.1109/TETCI.2022.3225173  

70. Jintao Huang, Wenbin Qian, Chi-Man Vong,  Weiping Ding, Wenhao Shu, Qin Huang, “Multi-label Feature Selection via Label Enhancement and Analytic Hierarchy Process”  IEEE Transactions on Emerging Topics in Computational Intelligence, DOI:10.1109/TETCI. 2022.3231655  

71. Weihua Xu, Doudou Guo, Jusheng Mi, Yuhua Qian, Weiping Ding, “A novel approach to two-way concept-cognitive learning via concept movement viewpoint” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2023.3235800

72. Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang, and Weiping Ding, “Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics, 2023,27(8): 3770-3381. DOI:10.1109/JBHI.2023.3240297.

73. Guoxia Xu, Chunming He, Hao Wang, Hu Zhu, and  Weiping Ding, “DM-Fusion: Deep Model-driven Network for Heterogeneous Image Fusion,” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2023.3238511.

74. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama and Witold Pedrycz,“Generalizable Segmentation of COVID-19 Infection from Multi-Site Tomography Scans: A Federated Learning Framework,” IEEE Transactions on Emerging Topics in Computational Intelligence,2024,8(1): 126-139.  DOI:10.1109/TETCI.2023.3245103.  

75. Guojin Zhong, Weiping Ding,  Long Chen, Guoxia Xu, and Yu-Feng Yu, “Multi-scale Attention Generative Adversarial Network for Medical Image Enhancement ,” IEEE Transactions on Emerging Topics in Computational Intelligence，2023, 7(4): 1113-1125.  DOI:10.1109/TETCI. 2023.3243920.  

76. Pengcheng Zhu, Weiping Ding, Lihua Wei, Shiguang Feng, Xueyun Cheng, Zhijin Guan, “A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-agent Cooperation,” IEEE Transactions on Computers. DOI:10.1109/TC.2023.3242208.

77. Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, and Weiping Ding, “Internet of Behaviors: A Survey,” IEEE Internet of Things Journal, 2023, 10(13): 11117-11134. DOI 10.1109/JIOT.2023.3247594.

78. Sibo Cheng, Cesar Quilodr´an-Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, ´Ronan Fablet senior member, IEEE, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Pfander,  Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci, “Machine Learning with data assimilation and uncertainty quantification for dynamical systems: a review ”IEEE/CAA Journal of Automatica Sinica, 2023,10(6):1361-1387. DOI:10.1109/JAS.2023. 123537.

79. Ripon K. Chakrabortty, Mohammad Humyun Fuad Rahman, Weiping Ding, “Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0,” IEEE Transactions on Industrial Informatics, 2023, 19(3): 3296-3299. DOI: 10.1109/TII.2023.3246645.  

80. Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia and Weiping Ding, “Effective value analysis of fuzzy similarity relation in HQSS for efficient granulation, ” IEEE Transactions on Neural Networks and Learning Systems，DOI: 10.1109/TNNLS.2023.3265310.

81. Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, and Ye Shi, “FedTP: Federated Learning by Transformer Personalization,” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2023.3269062.

82. Li Duan,Yangyang Sun, Wei Ni,  Weiping Ding, Jiqiang Liu,  Wei Wang, “Attacks against Cross-chain Systems and Defense Approaches: A Contemporary  Survey,” IEEE-CAA Journal of Automatica Sinica, Accepted and to be appeared

83. Zhaoyin Shi, Long Chen, Weiping Ding, Chuanbin Zhang, Yingxu Wang “Parameter-Free Robust Ensemble Framework of Fuzzy Clustering,” IEEE Transactions on Fuzzy Systems，2023, 31(12): 4205-4219. DOI: 10.1109/TFUZZ.2023.3277692  

84. Qiong Chen, Liangru Xie, Lirong Zeng, Sining Jiang, Weiping Ding*, Xiaomeng Huang, and Hao Wang*,  “Neighborhood Rough Residual Network Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems,” IEEE Transactions on Intelligent Transportation Systems，DOI: 10.1109/TITS.2023.3285615

85. Li Duan,Yangyang Sun, Wei Ni, Weiping Ding, Jiqiang Liu,  Wei Wang, “Attacks against Cross-chain Systems and Defense Approaches: A Contemporary  Survey,” IEEE-CAA Journal of Automatica Sinica  Accepted and to be appeared

86. Imran Razzak, Reda Bouadjenk, Brij B. Gupta,  Weiping Ding, “Support Matrix Machine via Joint l2,1 and Nuclear Norm Minimization Under Matrix completion Framework for Classification of Corrupted Data,”  IEEE Transactions on Neural Network and Learning System. DOI: 10.1109/TNNLS.2023.3293888

87. Bin Yu, Hengjie Xie, Mingjie Cai, Weiping Ding, “MG-GCN: Multi-granule graph convolution neural network for multi-label classification,” IEEE Transactions on  Emerging Topics in Computational Intelligence, 2024,8(1): 288-299. DOI: 10.1109/TETCI.2023.3300303  

88. Yaojin Lin, Zhuoxin He, Guo Lei, XueGang Hu,Weiping Ding, “Multi-label Feature Selection via Positive or Negative Correlation,” IEEE Transactions on  Emerging Topics in Computational Intelligence, 2024,8(1): 401-415. DOI: 10.1109/TETCI.2023.3302653  

89. Chenglong Zhu, Xueling Ma, Weiping Ding, Jianming Zhan, “Long-term time series forecasting with multi-linear trend fuzzy information granules for LSTM in a periodic framework,” IEEE Transactions on Fuzzy Systems, 2024,32(1):322-336. DOI: 10.1109/TFUZZ. 2023.3298970  

90. Wanli Huang, Yanhong She, Xiaoli He, Weiping Ding, “Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification,” IEEE Transactions on Fuzzy Systems, 2023, 31(10): 3721-3733. DOI: 10.1109/TFUZZ.2023.3300913  

91. Hengrong Ju, Tan Yin, Jiashuang Huang, Weiping Ding, Xibei Yang, “Sparse mutual granularity based feature selection and its application of schizophrenia patients,”  IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2023.3314548  

92. Shiming Chen, Shuhuang Chen, Wenjin Hou, Weiping Ding, and Xinge You, “EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning,” IEEE Transactions on Evolutionary Computation,  DOI: 10.1109/TEVC.2023.3307245  

93. Jianhua Dai, Tao Chen, Kai Zhang, Dun Liu, Weiping Ding, “GIFTWD: A prospect theory-based generalized intuitionistic fuzzy three-way decision model, ” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2023.3311624  

94. Junhao Huang,Yuhui Deng, Ke Wang, Zhangwei Li, Zhimin Tang,  Weiping Ding, “UnbiasNet: Vehicle Re-Identification Oriented Unbiased Feature Enhancement by Using Causal Effect,” IEEE Transactions on Intelligent Transportation Systems,2024,25(4): 1925-1937. DOI: 10.1109/TITS.2023.3317294

95. Di Wang, Zhuoran Zheng, Weiping Ding, Xiuyi Jia, “LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning,” IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2023.3327397  

96. Shuyin Xia, Cheng Wang, Guoyin Wang, Weiping Ding, Xinbo Gao, Jianhang Yu, Yujia Zhai, Zizhong Chen,“GBRS: A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set,”  IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2023.3325199 

97. Dandan Zhu, Kun Zhu,Weiping Ding,Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang, “MTCAM: A Novel Weakly-supervised Audio-visual Saliency Prediction Model with Multi-modal Transformer,” IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2024.3358184

98. Yang Zhang, Yu-Feng Yu, Long Chen, and Weiping Ding, “Robust Correlation Filter Learning with Continuously Weighted Dynamic Response for UAV Visual Tracking,” IEEE Trans. on Geoscience and Remote Sensing，2023, 61: 4705814. DOI: 10.1109/TGRS.2023.3325337

99. Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding, “Fuzzy-granular Concept-cognitive Learning via Three-way Decision: Performance Evaluation on Dynamic Knowledge Discovery,” IEEE TFS Transactions on Fuzzy Systems. 2024, 32(3)：1409-1423. DOI: 10.1109/ TFUZZ. 2023.3325952  

100. Weiping Ding, Yu Geng, Jiashuang Huang, Hengrong Ju, Haipeng Wang, Chin-Teng Lin, “MGRW-Transformer: Multi-Granularity Random Walk Transformer Model For Interpretable Learning,”  IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023. 3326283

101. Changzhong Wang,Yan Wang, Tingquan Deng , Weiping Ding, and Yuhua Qian“Low-ranked multi-label learning based on nonlinear mapping,” IEEE Transactions on Artificial Intelligence, DOI: 10.1109/TAI.2023.3329079

102. Che Liu, Sibo Cheng, Weiping Ding, and Rossella Arcucci, “Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement,” IEEE Transactions on Neural Networks and Learning Systems,DOI: 10.1109/TNNLS.2023.3332217

103. Hui Zhang, Guiyang Luo, Xiao Wang, Yidong Li, Weiping Ding, and Fei-Yue Wang, “SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection,” IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS. 2023.3339889

104. Abdul Qayyum, Imran Razzak, Moona Mazher, Tariq Khan, Weiping Ding, and Steven Niederer，“Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics, DOI:10.1109 /JBHI.2023.3340956

105. Yonglin Tian, Xianjing Zhang, Xiao Wang, Jintao Xu, Jiangong Wang, Rui Ai, Weihao Gu, Weiping Ding, "ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images," IEEE Transactions on Intelligent Vehicles, DOI: 10.1109/TIV. 2023.3341223

106. Xinjie Zhu, Yan Zhong, Zidong Wang, Weiguo Sheng, Weiping Ding , Bingbing  Jiang,  "Discriminative Multi-view Fusion via Adaptive Regression," IEEE Transactions on  Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3375342

107. Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, and Hengrong Ju, “ViTH-RFG: Vision Transformer Hashing with Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2023.3343352  

108. Shu Jiang, Zuchao Li, Hai Zhao, and Weiping Ding, “Entity-Relation Extraction as Full Shallow Semantic Dependency Parsing, ” IEEE Transactions on Audio, Speech, and Language Processing , DOI: 10.1109/TASLP.2024.3350905

109. Kun Zhu, Nana Zhang, Weiping Ding, and Changjun Jiang, "An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection," IEEE Transactions on Artificial Intelligence, DOI: 10.1109/TAI.2024.3359568

110. Cheng Tang, Junkai Ji, Yuki Todo, Weiping Ding Sachiko Kodera, and Akimasa Hirata, “Dendritic neural network: a novel extension of dendritic neuron model,” IEEE Transactions on Emerging Topics in Computational Intelligence,DOI: 10.1109/TETCI.2024. 3367819 

111. Qin Xie, Qinghua Zhang, Chengying Wu, Shuyin Xia, Guoyin Wang, Weiping Ding, “GBG++: A Fast and Stable Granular Ball Generation Method for Classification,”  IEEE Transactions on Emerging Topics in Computational Intelligence，DOI: 10.1109/TETCI.2024.3359091  

112. M.Victoria Luzón, Nuria Rodríguez-Barroso, Alberto Argente-Garrido, Daniel Jiménez López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera,  “A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends,” IEEE/CAA Journal of Automatica Sinica 2024, DOI: 10.1109/JAS.2024.124215

113. Ke Wang,  Mingjia Zhu, Zicong Chen, Jian Weng, Ming Li, Siu-Ming Yiu, Weiping Ding,Tianlong Gu, “A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability,” IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2024.3359269.

114. Huashi Zhu, Dexuan Xu, Yu Huang∗, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong “Graph Structure Enhanced Pre-training Language Model for Knowledge Graph Completion,”  IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI. 2024.3372442

115. Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, and Zhihui Lai,  “OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning with Contrastive Learning,” IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2024.3372436.

116. Yi Ding, Weihua Xu, Weiping Ding, Yuhua Qian, “IFCRL:Interval-intent Fuzzy Concept Re-cognition Learning,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024. 3376569

117. Hong Zhao, Yuling Su, Zhiping Wu, Weiping Ding, “CSTS: Exploring Class-specific and Task-shared Embedding Representation for Few-shot Learning,” IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2024.3380833

118. Pengrui Liu, Wei Wang, Xiangrui Xu, Hanxi Li, and Weiping Ding, “Assessing Membership Leakages via Task-Aligned Divergent Shadow Datasets in Vehicular Road Cooperation,” IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2024.3380642

119. Dandan Zhu, Kun Zhu, Weiping Ding, Nana Zhang, Kaiwei Zhang, Jiabao Zhao, Guangtao Zhai, Xiaokang Yang,” From Discrete Representation to Continuous Modeling: A Novel Audio-visual Saliency Prediction Model with Implicit Neural Representations,”IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI. 2024.3386619

120. Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang, “BiFuG2-Spark: Bi-directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator with Granular-Group Collaboration,” IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4234-4247. DOI: 10.1109/TFUZZ.2024.3392328

121. Zhaoyin Shi, Long Chen, Weiping Ding,  Guang-yong Chen, Chuanbin Zhang, Yingxu Wang, C. L. Philip Chen, “IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering,” IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2024.3391274

122. Dongyuan Li, Zhen Wang, Yankai Chen, Weiping Ding, Manabu Okumura, “A Survey on Deep Active Learning: Recent Advances and New Frontiers,” IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2024.3396463

123. Lin Sun, Tianxiang Wang, Weiping Ding,  Yuhua Qian, Jiucheng Xu, “FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection with Fuzzy Mutual Information,” IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI. 2024.3399665

124. Fevrier Valdez, Oscar Castillo, and Patricia Melin, Weiping Ding, “A survey on Type-3 Fuzzy Logic Systems and its control applications,” IEEE/CAA Journal of Automatica Sinica. DOI: 10.1109/JAS.2024.124530

125. Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, and Weiping Ding, “Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity,”IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE. 2024.3405489

126. Bo˙zena Małysiak-Mrozek, Bartłomiej Ryba, Marek Moleda, Che-Lun Hung, Witold Pedrycz, Weiping Ding, Dariusz Mrozek, “Interpreting Industrial IoT Data Streams through Fuzzy Querying with Hysteretic Fuzzy Sets on Apache Kafka,” IEEE Transactions on Fuzzy Systems, 2024,32(8): 4671-4684. DOI: 10.1109/TFUZZ.2024.3409585

127. Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin, “FMDNN: A Fuzzy-guided Multi-granularity DeepNeural Network for Histopathological Images Classification,”IEEE Transactions on Fuzzy Systems，2024,32(8): 4709-4723. DOI: 10.1109/ TFUZZ.2024.3410929

128. Shanliang Yao, Runwei Guan, Zhaodong Wu, Yi Ni, Zile Huang, Zixian Zhang,Yong Yue, Weiping Ding, Hyungjoon Seo, Ka Lok Man, Xiaohui Zhu, Yutao Yue,“WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmark for Autonomous Driving on Water Surfaces” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2024. 3415772

129. Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, and Tao Yin,“Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems," IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3420963

130. Kehua Yuan, Duoqian Miao, Witold Pedrycz,  Weiping Ding, Hongyun Zhang,“Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery,”IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE. 2024.3419215

131. Jinbo Li, Peng Liu, Long Chen,Witold Pedrycz, Weiping Ding,“An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models,” IEEE Transactions on Artificial Intelligence. DOI: 10.1109/TAI.2024.3424427

132. Haibin Ouyang, Dongmei Liu, Steven Li, Weiping Ding, Zhi-hui Zhan,“Two-Stage Deep Feature Selection Method Using Voting Differential Evolution Algorithm for Pneumonia Detection from Chest X-Ray Images,”IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3425285

133. Yingbai Hu, Wei Zhou, Yueyue Liu, Minghao Zeng, Weiping Ding, Shu Li, Guoxin Li, Zheng Li, Alois Knoll, “Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments,” IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2024.3424527

134. Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, and Weiping Ding, “Fuzzy neural tangent kernel model for identifying DNA N4-methylcytosine sites,” IEEE Transactions on Fuzzy Systems, DOI:10.1109/TFUZZ.2024.3425616.

135. Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F Frangi, Witold Pedrycz, Simon Walsh, Guang Yang, “Fuzzy Attention-based Border Rendering Orthogonal Network for Lung Organ Segmentation,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2024.3433506

136. Haibin Ouyang, Dongmei Liu, Steven Li, Weiping Ding, Zhi-hui Zhan, “Two-Stage Deep Feature Selection Method Using Voting Differential Evolution Algorithm for Pneumonia Detection from Chest X-Ray Images,”IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3425285

137. Jianming Zhan, Xianfeng Huang, Yuhua Qian, Weiping Ding,“A fuzzy C-means clustering-based hybrid multivariate time series prediction framework with feature selection,” IEEE Transactions on Fuzzy Systems，2024, 32(8): 4270-4284.DOI: 10.1109/TFUZZ.2024. 3393622

138. Zhihui Wang, Mingshuai Li, Xingli Zhang, Ming Li, Zhao Li, Weiping Ding, Xindong Wu,“MM-tracker: Visual Tracking with a Multi-task Model Integrating Detection and Differentiating Feature Extraction,”IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3436842

139. Yushi Li，George Baciu，Rong Chen，Chenhui Li, Hao Wang, Yushan Pan, Weiping Ding,“DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning,"IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/ TNNLS.2024.3439706

140. Hengrong Ju, Xiaoxue Fan, Weiping Ding,Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz,"Dual-Channel Fuzzy Interaction Information fused Feature Selection with Fuzzy Sparse and Shared Granularities," IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2024.3438364

141. Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu,“Granular ball fuzzy neighborhood rough sets-based feature selection via multi-objective mayfly optimization,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2024.3440575. 

142. Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Degan Zhang, Chunhua Su,“Neighbor-enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks,” ACM Transactions on Knowledge Discovery from Data. https://doi.org/10.1145/3676559

143. Jiajia LI, Ping Wang, Zuchao Li, Kevin Parnow, Hai Zhao, and Weiping Ding “Enhancing Lyrics Rewriting with Weak Supervision from Grammatical Error Correction Pre-training and Reference Knowledge Fusion,”IEEE Transactions on Asian and Low-Resource Language Information Processing, https://doi.org/10.1145/3687126

144. Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, Jing Cai, “Deep Reconciled & Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability and Theory,”IEEE Transactions on Fuzzy Systems,DOI 10.1109/TFUZZ.2024.3442821

145. Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, Hengrong Ju,“C2F-Explainer: Explaining Transformers Better through a Coarse-to-Fine Strategy” IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2024.3443888

146. Yang Zhang, Changzhong Wang, Yang Huang, Weiping Ding, Yuhua Qian,”Adaptive Relative Fuzzy Rough Learning for Classification,”IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2024.3443863

147. Chenglong Zhu, Xueling Ma, Pierpaolo D’ Urso, Yuhua Qian, Weiping Ding, Jianming Zhan,“Long-term multivariate time series forecasting model based on Gaussian fuzzy information granules,”IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ. 2024. 3449769

148. Hongpeng Tian, Zuowei Zhang, Weiping Ding, “Incomplete Data Transfer Calibration Classification,” IEEE Transactions on Emerging Topics in Computational Intelligence,DOI: 10.1109/TETCI.2024.3449902

149. Xiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li, Zhao Li, Weiping Ding,  and Xindong Wu,“SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination,”IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3452749

150. Lili Liang, Guanglu Sun,Tianlin Li, Shuai Liu, and Weiping Ding,“TLNet: Temporal Span Localization Network with Collaborative Graph Reasoning for Video Question Answering, ”IEEE Transactions on Emerging Topics in Computational Intelligence, DOI:10.1109/ TETCI.2024.3452751

151. Xianchao Dai, Hao Li, Ligang Zhou, Qun Wu, Weiping Ding, Muhammet Devecie, “A Bayesian framework for modelling the trust relationships to group decision making problems,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3452271

152. Jianhua Dai, Jie Liu, Weiping Ding, Chucai Zhang, “Attribute reduction for heterogeneous data by hybrid neighborhood graph structure and neighbor inconsistent pair selection,” IEEE Transactions on Emerging Topics in Computational Intelligence.  DOI: 10.1109/ TETCI.2024.3462169

153. Weihua Liu, Junlan Feng, Chao Deng, Wenhui Huang, Xi Chen, Yiming Luo, Yushan Pan, Hao Wang, and Weiping Ding, “Learning Inter and Intra Class Variation with Deep Frequency Factorization Network for Face Anti-Spoofing,”IEEE Transactions on  Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2024.3462172

154. Hongpeng Tian, Zuowei Zhang, Xiaole Wang, Weiping Ding, “Incomplete Data Transfer Calibration Classification,” IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2024.3449902

155. Jinbo Wang, Weihua Xu, Weiping Ding, and Yuhua Qian, “Multi-View Fuzzy Concept-Cognitive Learning with High-Order Fusion of Fuzzy Attributes,” IEEE Transactions on Fuzzy Systems,DOI: 10.1109/TFUZZ.2024.3470794

156. Qiong Chen,  Lirong Zeng, Weiping Ding,"FRCNN: A Combination of Fuzzy-rough-set-based Feature Discretization and Convolutional Neural Network for Segmenting Subretinal Fluid Lesions," IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3473310

157. Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, Yanan Sun, “Efficient Evaluation Methods for Neural Architecture Search: A Survey ”IEEE Transactions on Artificial Intelligence，DOI: 10.1109/TAI.2024.3477457

158. Chao Zhang , Yu Huang, Weiping Ding,Yiwei Lou, Yongzhi Cao, and Hanpin Wang, “Synergistic Attention-guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis,” IEEE Transactions on Neural Networks and Learning Systems，DOI: 10.1109/TNNLS.2024.3477248

159. Changzhong Wang, Shuang An, Weiping Ding, Yuhua Qian, Feature selection and classification based on directed fuzzy rough sets IEEE Transactions on Systems, Man, and Cybernetics: Systems. DOI: 10.1109/TSMC.2024.3492337

160. Xingli Wu, Huchang Liao, Benjamin Lev, Weiping Ding, "A classification-based product selection method based on online reviews on multi-faceted attributes," IEEE Transactions on Computational Social Systems. DOI: 10.1109/TCSS.2024.3485009

161. Wei Zhang, Xiuyu Huang, Andong Li, Te Zhang, Weiping Ding, Zhaohong Deng, Shitong Wang, “Dual Anchor Graph Fuzzy Clustering for Multi-view Data,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3489025

162. Qiong Chen, and Weiping Ding, “A Genetic Algorithm Based on Deep Q-learning I Optimization of Remote Sensing Data Discretization Scheme,” IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2024.3484968

163. Yujie Dong, Shiming Chen, Bowen Duan,Weiping Ding, Yisong Wang, Xinge You,”Object-Awared Image Augmentation for Audio-Visual Zero-Shot Learning,”IEEE Transactions on  Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2024.3485624

164. Bin Yu, Hengjie Xie, Jingxuan Chen, Mingjie Cai， Hamido Fujita, Weiping Ding,“SDHGCN: A heterogeneous graph convolutional neural network combined with shadowed set,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3494864

165. Bowen Duan, Shiming Chen, Yufei Guo, Guosen Xie, Weiping Ding, Yisong Wang, “Visual-Semantic Graph Matching Net for Zero-Shot Learning” IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2024.3499377

166. Ronghua Zhang, Jianming Zhan, Weiping Ding, Witold Pedrycz,“Gaussian linear fuzzy information granule-based CNN prediction model in the context of periodic time series, IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3504486

167. Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Weiping Ding, “Multi-view dynamic kernelized evidential clustering,” IEEE/CAA Journal of Automatica Sinica, 2024,11(12):2435-2450. DOI: 10.1109/JAS.2024.124608

168. Jia Wei, Xingjun Zhang, Witold Pedrycz, Weiping Ding, “Dynamic Fuzzy Sampler for Graph Neural Networks,”IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2024.3509018

169. Xunjin Wu, Jianming Zhan, Weiping Ding,  and Witold Pedrycz,” GRNN Model with Feedback Mechanism Incorporating k-Nearest Neighbour and Modified Gray Wolf Optimization Algorithm in Intelligent Transportation,” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2024.3510678

170. Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Weiping Ding, “Multi-view dynamic kernelized evidential clustering,” IEEE/CAA Journal of Automatica Sinica, 2024,11(12):2435-2450. DOI: 10.1109/JAS.2024.124608

171. Sai Yang, Bin Hu, Fan Liu, Xiaoxin Wu, Weiping Ding, and Jun Zhou,"IPT-ILR: Image Pyramid Transformer Coupled with Information Loss Regularization for All- in-one Image Restoration,"IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2024.3519352

172. Yan Li, Xingchen Hu, Shengju Yu, Weiping Ding, Xinwang Liu, Yeo Chai Kiat, Zhong Liu, “A Vertical Federated Multi-view Fuzzy Clustering Method for Incomplete Data,” IEEE Transactions on FuzzySystems. DOI: 10.1109/TFUZZ.2025.3526978

173. Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, and Witold Pedrycz, “Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls,” IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2024.3525003

174. Ying Xie, Weiping Ding, Weihua Liu, Hao Wang, Yushan Pan, Rongbin Xu, Yun Yang, “AGCTO: Attributed Graph Clustering with Transitive Order Convolutional Autoencoder,”IEEE Transactions on Emerging Topics in Computational Intelligence. DOI:10.1109/TETCI.2025. 3526281

175. Ji Xu, Gang Ren, Jianhang Tang,Weiping Ding, Guoyin Wang,”Selecting Central and Divergent Samples via Leading Tree Metric Space for Semi-supervised Learning,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3528400

176. Fuyuan Xiao, Weiping Ding, Witold Pedrycz, “A Generalized f-Divergence with Applications in Pattern Classification,” IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2025.3530524

177. Liangyu Wang, Long Bai, Shilong Yao, Yanheng Li, Sishen Yuan,Yanan Wu,Yang Zhang,Max Q.-H. Meng, Weiping Ding, Hongliang Ren, “V2-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy,”IEEE Transactions on Automation Science and Engineering. DOI: 10.1109/TASE.2025.3530791

178. Cong Huang, Li Zhu, Weiping Ding, Ke Gu, Peng Mei, and Shichun Yang, “Encoding-Decoding-Based Recursive State Estimation for Mobile Robot Localization: A Multiple Description Case,” IEEE/ASME Transactions on Mechatronics. DOI: 10.1109/TMECH.2025. 3529077

179. Tantao Lin, Zhijun Ren, Linbo Zhu,Yongsheng Zhu, Ke Feng, Weiping Ding, Michael Beer, Patrick Siarry,“A Systematic Review of Multi-Sensor Information Fusion for Equipment Fault Diagnosis,” IEEE Transactions on Instrumentation & Measurement. DOI: 10.1109/TIM.2025. 3529577

180. Yu-Feng Yu, Zhongsen Chen, Yang Zhang, Chuanbin Zhang and Weiping Ding,“Learning Dynamic-Sensitivity Enhanced Correlation Filter with Adaptive Second-order Difference Spatial Regularization for UAV Tracking,” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2025.3533953

181. Tantao Lin, Zhijun Ren, Linbo Zhu, Yongsheng Zhu, Ke Feng, Weiping Ding, Michael Beer, Patrick Siarry,“A Systematic Review of Multi-Sensor Information Fusion for Equipment Fault Diagnosis,” IEEE Transactions on Instrumentation & Measurement. DOI: 10.1109/TIM.2025. 3529577

182. Fan Zhao, Qinghua Zhang, Ying Yang, Longjun Yin, Guoyin Wang,Weiping Ding,” Knowledge-level Fusion: A Novel Information Fusion Mode from the Perspective of Granular Computing,” IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2025.3538646

183. Cong Huang, Quan Shi, Weiping Ding, Edmond Q. Wu, and Peng Mei, “A Multi-Rate-Fused State-of-Charge Estimation Scheme of Lithium-ion Batteries for Electric Vehicles With Energy Harvesting Sensors” IEEE Transactions on Instrumentation & Measurement. DOI 10.1109/TIM.2025.3547129

184. Zhangtianyi Chen, Jing Wang, Weiping Ding, and C. L. Philip Chen，Junwei Duan, "CC-GBLS: Collaborative-competitive Representation-based Graph Regularized Broad Learning System for Osteoporosis Diagnosis," IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2025.3543372

185. Nan Zhou, Shujiao Liao, Hongmei Chen, Weiping Ding,“Semi-supervised Feature Selection with Multi-Scale Fuzzy Information Fusion: From Both Global and Local Perspectives,”IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3540884

186. Qihang Guo, Xibei Yang, Weiping Ding,  and Yuhua Qian,  "Cross-graph interaction networks" IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2025. 543377

187. Junwei Jin, Shaokai Chang, Junwei Duan, Yanting Li, Weiping Ding, Zheng Wang, Fellow, IEEE, C. L. Philip Chen,and Peng Li, “Groupwise Label Enhancement Broad Learning System for Image Classification,” IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2025.3550175

188. Guangming Lang, Lixi Zhao, Duoqian Miao, Weiping Ding, “Granular-Ball Computing based Fuzzy Twin Support Vector Machine for Pattern Classification,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3552281

189. Lin Ma, Liang Hu, Yonghao Li, Weiping Ding, Wanfu Gao, "MI-MCF: A Mutual Information Based Multi-Label Causal Feature Selection"  IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025.3556128

190. Chuanbin Zhang, Long Chen, Weiping Ding, Kai Zhao, Zhaoyin Shi, Yingxu Wang, and C. L. Philip Chen,“Scale-Driven Tensor Representation-Based Multi-View Fuzzy Clustering,” IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025. 3558613

191. Liangbo Ning, Zhunga Liu, Zuowei Zhang, Weiping Ding, and Dian Shao,”Multi-level Distribution Alignment for Multi-source Universal Domain Adaptatio,” IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025.3561401

192. Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding,”Threats and defenses in the federated learning life cycle: A comprehensive survey and challenges,”IEEE Transactions on Neural Networks and Learning Systems.DOI: 10.1109/TNNLS.2025.3563537

193. Zuobin Ying，Zhengcheng Lin, Zhenyu Li, Xiaochun Huang, Weiping Ding, “SCDF: Seeing Clearly through Dark and Fog, An Adaptive Semantic Segmentation Scheme for Autonomous Vehicle,” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2025.3565327

194. Jingya Wang, Jianfeng Weng,Weiping Ding, Xiatian Zhu, Chunlin Yu，Zhiyong Wang, “Noise Perception Self-Supervised Learning for Unsupervised Person Re-Identification,”IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2025. 3555215

195. Keyu Liu, Xibei Yang, Weiping Ding, Hengrong Ju, Tianrui Li, Jie Wang, Tengyu Yin, “A Survey on Rough Feature Selection: Recent Advances and Challenges,” IEEE/CAA Journal of Automatica Sinica. DOI:  10.1109/JAS.2025.125231

196. Shanliang Yao, Runwei Guan,  Zitian Peng, Chenhang Xu, Yilu Shi,  Weiping Ding, Eng Gee Lim,  Yong Yue, Hyungjoon Seo, Ka Lok Man, Jieming Ma, Xiaohui Zhu, Yutao Yue, “Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review,”IEEE Intelligent Transportation Systems Transactions. DOI: 10.1109/TITS.2025.3554781

197. Nana Yu, Jie Wang, Zihao Zhang, Yahong Ha, Weiping Ding,"Semantic Prompt Enhancement for Semi-Supervised Low-Light Salient Object Detection," IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025.3555828

198. Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Zhe Liu, Weiping Ding "How to characterize imprecision in multi-view clustering?" IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2025.3572135

199. Yuepeng Chen, Weiping Ding, Jiashuang Huang, Wei Zhang, and Tianyi Zhou, “Multi-granularity Fuzzy Autoencoder for Discriminative Feature Selection in High-Dimensional Data,” IEEE Transactions on Neural Networks and Learning Systems. DOI:10.1109/TNNLS.2025.3569893

200. Fan Fu, Bosheng He, Jiamin Liu, Weiguan Chen, Jiyang Lu, Hongjian Luand Weiping Ding, “ECG Adaptive Synthesis with Multigranular Fuzzy EASNN: Enhancing Wearable Cardiac Monitoring,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3573405

201. Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Shuai Liu, Weiping Ding,” Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2025.3575060

202. Zhaoyin Shi, Yingjie Luo, Xin Liu, Long Chen, Weiping Ding, Xiaopin Zhong, Zongze Wu, C. L. Philip Chen, "MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification," IEEE Transactions on Emerging Topics in Computational Intelligence. DOI:10.1109/TETCI.2025.3577454

203. Hengrong Ju,Yang Lu,Weiping Ding,Wei Zhang, Xibei Yang, “Multi-Granularity Information Fused Contrastive Learning with Multi-View Clustering" IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025.3574885

204. Yonghe Chu, Zhaolong Wang, Weiping Ding, Jiashuang Huang, Hengrong Ju and Heling Cao, "FTCL: Fuzzy Triple Contrastive Learning for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2025.3576670

205. Yutang Jin, Shiming Chen, Tianle Tong, Weiping Ding,and Yisong Wang, "Multi-modal Prompts with Primitives Enhancement for Compositional Zero-Shot Learning,"IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2025. 3577246

206. Wenjun Zheng, Shoufei Han, Xiaofen Jia, Edmond Q. Wu, and Weiping Ding, "GT-AGCN: Integrating Global Semantics and Local Syntax for Aspect-Based Sentiment Analysis,"IEEE Transactions on Computational Social Systems. DOI: 10.1109/TCSS.2025.3588104

207. Anhui Tan, Jianhang Xu, Wei-Zhi Wu, Weiping Ding, Jiye Liang,"Partial Multi-Label Learning via Dynamic Fuzzy Aggregations of Multi-Granularity Features," IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3584340

208. Chenglong Zhu, Xueling Ma, Weiping Ding, Witold Pedrycz and Jianming Zhan, ”Long-term prediction model for fuzzy granular time series based on trend filter decomposition and ensemble learning,” IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2025.3582771

209. Bing-Bing Jiang, Chenglong Zhang, Xinyan Liang, Peng  Zhou, Liang Du, Qinghua Zhang, Weiping Ding, "Scalable Fuzzy Clustering with Collaborative Structure Learning and Preservation,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3581679

210. Wentao Li, Lingwei Wei, Witold Pedrycz, Weiping Ding, Chao Zhang, and Tao Zhan, "Granular-Ball Regeneration Clustering with Principle of Justifiable Granularity,"IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025. 3579376

211. Cong Huang, Li Zhu, Weiping Ding, Peng Mei, Shichun Yang, Quan Shi, "An Encoding-Decoding-Based State Estimation Scheme for State-Saturated Systems Under Buffer-Aided Mechanism," IEEE Transactions on Circuits and Systems II: Express Briefs. DOI:  10.1109/TCSII.2025.3578535

212. Xuefeng Shi, Weiping Ding, Min Hu, Xin Kang, Fuji Ren," Fuzzy Humanized Sentiment Knowledge Enhanced Dependency Graphs Implementing with Aspect-based Sentiment Analysis,"IEEE Transactions on Fuzzy Systems. DOI:10.1109/TFUZZ.2025.3583050

213. Xiaotian Cheng, Weiping Ding, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Jing Guo, Witold Pedrycz, "FCAformer: Fuzzy-enhanced Class-aware Attention basedTransformer for Weakly Supervised Histopathology Image Segmentation,” IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3583819

214. Jingpeng Sun, Gangming Zhao, Chen Chen, Jinpeng Li, Weiping Ding，Xiyuan Hu, and Yizhou Yu, “SleepLog: Local-global Deep Fusion Learning for Sleep Staging Transformer,”IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TAI. 2025.3591587

215. Anhui Tan, Jianhang Xu, Wei-Zhi Wu, Weiping Ding, Jiye Liang, “Partial Multi-Label Learning via Dynamic Fuzzy Aggregations of Multi-Granularity Features,”  IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3584340

216. Long-hui Wang, Li-fang Chen, Weiping Ding, Qi Dai, "Ensemble Intrusion Detection Based on Heterogeneous Data Augmentation and Knowledge Distillation,” IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2025.3593924

217. Weiping Ding, Linlin Zhou, Wei Zhang, Te Zhang, Zhaohong Deng, Guanjin Wang, "FHN: Fuzzy Hashing Network for Medical Image Retrieval," IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3595736

218. Changzhong Wang,Yang Zhang, Shuang An, Weiping Ding,“An adaptive fuzzy-rough neural network and its application in classification,” IEEE Transactions on Systems, Man and Cybernetics: Systems.  DOI: 10.1109/TSMC.2025.3599882

219. Zhangwei Li, Yuhui Deng, Ke Wang, Junhao Huang,  Zhimin Tang,  Weiping Ding,"MFENet: Multi-information Feature Enhancement Network for Vehicle Re-identification,” IEEE Transactions on Artificial Intelligence. DOI: 10.1109/TAI.2025.3601594

220. Xiaoyu Xiong, Fuyuan Xiao, Zehong Cao, Weiping Ding,“RTFN-MSIF: A Reinforced TFN-based Multisource Information Fusion for Pattern Classification,”IEEE Transactions on Systems, Man and Cybernetics: Systems. DOI:10.1109/TSMC.2025.3599712

221. Jinbo Wang, Weihua Xu, Qinghua Zhang, Yuhua Qian, and Weiping Ding, "Dynamic Multi-View Classification and Knowledge Fusion: A Fuzzy Concept-Cognitive Learning Perspective, " IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2025.3595926

222. Yanli Li, Yuqi Li, Yanan Zhou, Kai Zhang, Yuning Zhang, Nan Yang, Dong Yuan, Weiping Ding, “FedSCOPE: A Comprehensive Evaluation Framework for Federated Learning in Social Computing," IEEE Transactions on Computational Social Systems. DOI: 10.1109/TCSS. 2025.3603719

223. Zhengshan Wang, Long Chen, Xuelin Xie, Yang Zhang, Yunpeng Cai, Weiping Ding,"Teacher-Student Instance-level Adversarial Augmentation for Single Domain Generalized Medical Image Segmentation,”IEEE Transactions on Medical Imaging. DOI: 10.1109/TMI.2025. 3605162

224. Wei Zhang, Andong Li, Te Zhang, Weiping Ding, Zhaohong Deng, Shitong Wang, "Adaptive Multi-View Fuzzy Clustering with Diverse Anchor based Guidance,”  IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2025.3619520

225. Sheng Geng, Tao Hou, Shu Jiang, Hongcheng Yao, Jiangshuang Huang, Weiping Ding, "FEU-Diff: A Diffusion Model with Fuzzy Evidence-Driven Dynamic Uncertainty Fusion for Medical Image Segmentation," IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025.3609085

226. Junkai Liu, Le Zhang; Xiaoyi Guo, Quan Zou, Prayag Tiwari, Yijie Ding, Weiping Ding,“Interpretable and Adaptive Graph Contrastive Learning with Information Sharing for Biomedical Link Prediction”IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2025.3616045

227. Fankang Xu, Wenbin Qian, Wenhao Shu, Jintao Huang, Weiping Ding, Shuyin Xia, "Granular Ball-Guided Disambiguation for Partial Multi-Label Feature Selection via Maximum Consistency Minimum Uncertainty,”IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2025.3610795

228. Man Gao, Qinghua Zhang, Fan Zhao, Qin Xie, Guoyin Wang, Weiping Ding, "Multi-granularity-layer Shadowed Set: A Three-way Approximation Framework for Fuzzy Information,” IEEE Transactions on Systems, Man, and Cybernetics: Systems. DOI: 10.1109/ TSMC.2025.3613350

229. Lili Zhao, Jinzhao Yang, Kuan Li, Bin Hu, Weiping Ding, Huiyu Zhou，"Double Uncertainty-Aware Learning Network for Multi-modal Cell Image Segmentation," IEEE Journal of Biomedical and Health Informatics. DOI: 10.1109/JBHI.2025.3615611

230. B.B.Zaidan, Weiping Ding, H.A.Alsattar, Nahia Mourad, A.A.Zaidan, Sarah Qahtan, Ibrahim Alshakhatreh,"Exploration and Development of a Structured Multi-Level Fusion in an Ensemble-Based Large-Scale Meta-Decision Model,”  Information Fusion, 117 (2025) 102911. https://doi.org/10.1016/j.inffus.2024.102911

231. Tianyi Zhou, Haipeng Wang, Sheng Geng, Hengrong Ju, Jiashuang Huang, Fan Fu, Weiping Ding,“F2CAU-Net: A Dual Fuzzy Medical Image Segmentation Method Based on Fuzzy Convolutional and Fuzzy Attention Mechanism,” Applied Soft Computing 184 (2025) 113692. https://doi.org/10.1016/j.asoc.2025.113692

232. Fuqiang Liu, Weiping Ding, Luis Miranda-Moreno, Lijun Sun, "Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting,” Information Fusion 126 (2026) 103635.  https://doi.org/10.1016/j.inffus.2025.103635

233. Jian Lyu, Zuobin Yin, Ning Shi, Jingfeng Xue, Zijie Pan, Weiping Ding, Wanlei Zhou, "Harnessing Large Language Models for Question Answering over Complex Tables,”Engineering Applications of Artificial Intelligence 160 (2025) 111910. https://doi.org/ 10.1016/ j.engappai.2025.111910

234. Weiping Ding, Mohamed Abdel-Basset, Ahmed M. Ali and Nour Moustafa,“Large Language Models for Cyber Resilience: A Comprehensive Review, Challenges, and Future Perspectives,” Applied Soft Computing, 170 (2025) 112663.  https://doi.org/10.1016/j.asoc. 2024.112663

235. Muhammad Jabir Khan, Shu Jiang, Weiping Ding,  Muhammad Akram”Construction methods for entropy measures of circular intuitionistic fuzzy sets and their application,” Engineering Applications of Artificial Intelligence  160 (2025) 111809. https://doi.org/ 10.1016 /j.engappai.2025.111809

236. Zhan Su, Jiashuang Huang, Jiang Shu, Mingliang Wang and Weiping Ding,”SUFT: Sparse and Uncertain Fusion Transformers for Multi-Atlas Brain Network Analysis,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),  DOI: 10.1109/ICASSP49660.2025.10889123

237. Lin Sun, Yiwen Cai, Weiping Ding, Jiucheng Xu,"FRGCN: Feature Selection-Based Rough Graph Classification via Graph Convolutional Neural Network,”Engineering Applications of Artificial Intelligence 158 (2025) 111502. https://doi.org/10.1016/j.engappai.2025.111502

238. Mengchun Ma, Bin Yu, Weiping Ding, "A Fusion Method for Large-Scale Online Review Ranking," Information Fusion 125 (2026) 103429. https://doi.org/10.1016/j.inffus.2025. 103429

239. Jun Lyu, Guangming Wang, Zi Wang, Shunjie Dong, Weiping Ding, Chengyan Wang,“Diffusion-Prior Based Implicit Neural Representation for Arbitrary-Scale Cardiac Cine MRI Super-Resolution,” Information Fusion 126 (2026) 103510.  https://doi.org/10.1016/ j.inffus.2025.103510

240. Peng Ping, Xiaxin Zhang, Lu Tao, Quan Shi, Yafu Tian, Jun Yan, Weiping Ding, "A Comprehensive Survey on Multi-Sensor Fusion for BEV Perception in Autonomous Vehicles,”Information Fusion 126 (2026) 103653. https://doi.org/10.1016/j.inffus. 2025.103653

241. Zuowei Zhang, Hongpeng Tian, Jingwei Zuo, Weiping Ding, “Aggregation-based self-supervised evidential clustering for imbalanced data,” Information Fusion 127 (2026) 103721. https://doi.org/10.1016/j.inffus.2025.103721

242. Xuefeng Shi, Weiping Ding, Min Hu, Xin Kang, Fuji Ren, "TDGAT: Triple-Dimensional Graph Attention Networks for Exploring the Optimal Perspective for Aspect-Based Sentiment Analysis,”Cognitive Computation (2025) 17:141.https://doi.org/10.1007/s12559-025-10497-z

243. Lili Zhao, Di Xu, Xueping Tan, Jinzhao Yang, Weiping Ding, Hengde Zhu, Lichi Zhang, Qian Wang,"Deep Bioinspired Evolutionary Stacking Algorithm for Well-calibrated Multimodal Cell Image Classification,”Engineering Applications of Artificial Intelligence, 161 (2025) 112153. https://doi.org/10.1016/j.engappai.2025.112153

244. Hengrong Ju, Jing Guo, Weiping Ding, Witold Pedrycz, Xiaotian Cheng, Xibei Yang,"FDGC: Fuzzy Deep Clustering with Dual-Granularity Contrastive Learning,” Knowledge-Based Systems, 329 (2025) 114401. https://doi.org/10.1016/j.knosys.2025.114401

245. Shahid Hussain Gurmani, Weiping Ding , Rana Muhammad Zulqarnain, Jiangfeng Hao, "Cubic linguistic T-spherical fuzzy aggregation operator based CODAS model for sustainable food waste treatment technique selection,” Engineering Applications of Artificial Intelligence 161 (2025) 112111. https://doi.org/10.1016/j.engappai.2025.112111

246. Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Yanrui Jin,Weiping Ding, Chengliang Liu, “Spatial-Temporal Hierarchical Decoupled Masked Autoencoder: A Self-Supervised Learning Framework for Electrocardiogram,” Expert Systems With Applications, 298 (2026) 129603. https://doi.org/10.1016/j.eswa.2025.129603

247. Yinxin Bao, Qinqin Shen, Jinghan Xue, Weiping Ding,Quan Shi,“Denoising Diffusion Spatial-Temporal Residual Multi-Graph Convolutional Network for Traffic Flow Prediction,”Applied Soft Computing 182 (2025) 113656. https://doi.org/10.1016/j.asoc.2025.113656

248. Priya Sharma, Mukesh Kumar Mehlawat, Pankaj Gupta, Weiping Ding,“Integrating Feature Selection and Fuzzy Decision-Making: A Spherical Triangular Fuzzy Number Based Framework for Large-Scale Decision-Making,” Applied Soft Computing. 182 (2025) 113535. https://doi.org/10.1016/j.asoc.2025.113535

249. Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Lu Liu, Fuxiang Chen, Di Jin,“A Graph Regularized Overlapping Community Discovery Framework with Three-Way Decisions,” Information Sciences  720 (2025) 122525. https://doi.org/10.1016/j.ins.2025.122525

250. Zhuoxiao Li, Shanliang Yao, Yijie Chu, Ángel García-Fernández, Weiping Ding, Yong Yue, Xiaohui Zhu,“MVG-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification,” Information Fusion 126 (2026) 103540.  https://doi.org/10.1016/j.inffus.2025.103540

251. Zhuoxiao Li, Shanliang Yao, Yijie Chu, Ángel García-Fernández, Weiping Ding, Yong Yue, Xiaohui Zhu,“MVG-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification,” Information Fusion 126 (2026) 103540. https://doi.org/10.1016/j.inffus.2025.103540

252. Minghui Qian, Mengchun Zhao, Meng Pan, Yuchen Pan, Desheng Wu, David L. Olson, Weiping Ding, "A doctor recommendation model based on multidimensional feature extraction of doctors and patients from online medical platform,”Information Sciences 720 (2025) 122500. https://doi.org/10.1016/j.ins.2025.122500

253. Liguo Fei, Tao Li, Weiping Ding,“Adaptive multi-source information fusion for intelligent decision-making emergencies: integrating personal, event, and environmental factors,” Information Fusion 125 (2026) 103512.   https://doi.org/10.1016/j.inffus.2025.103512

254. Yugi Li, Yanli Li, Kai Zhang, Fuyuan Zhang, Chuanguang Yang, Zhongliang Guo, Weiping Ding, Tingwen Huang,”Achieving Fair Medical lmage Segmentation in Foundation Models with Adversarial Visual PromptTuning,” Information Sciences  720(2025) 122501.  https://doi.org/10.1016/j.ins.2025.122501

255. Yilin Wu, Yaojin Lin, Wenzhong Guo, Weiping Ding, "Label distribution learning with correlation information,” Engineering Applications of Artificial Intelligence 160 (2025) 111591. https://doi.org/10.1016/j.engappai.2025.11159

256. Jie Pan, Rui Wang, Yue Chao Li, Zhu Hong You, Wei Ping Ding, Qing Hua Huang, Da Wei Wei, Yan Mei Sun, Shi Wei Wang, "CM-PHI: Combining Multi-Hop Attention Graph Neural Network with Sequence Semantic Analysis to Predict Phage-Host Interaction," Expert Systems With Applications 296 (2026) 128963.  https://doi.org/10.1016/j.eswa.2025.128963.

257. Lin Sun, Mengqing Li, Weiping Ding, Jiucheng Xu, Baofang Chang, "AGNSA: Adaptive Graph Learning-based Unsupervised Feature Selection with Non-convex Sparse Autoencoder," Applied Soft Computing 181 (2025) 113550.  https://doi.org/10.1016/j.asoc.2025.113550

258. Xiaoyuan Deng, Jinhai Li, Weiping Ding, Xizhao Wang, "Uncertain multi-conceptual information acquisition and fusion for hierarchical Classification,"Information Fusion 125 (2026) 103421. https://doi.org/10.1016/j.inffus.2025.103421

259. Yanyuan Chen, Dexuan Xu, Yiwei Lou, Jiayu Zhang, Hang Li, Weiping Ding,, Yu Huang,"Semi-Supervised Medical Image Classification via Cross-Trainincand Dual-Teacher Fusion Mode,” Information Fusion 124 (2025) 103389. https://doi.org/10.1016/j.inffus.2025.103389 

260. Shaolong Wei, Jiashuang Huang, Mingliang Wang, Shu Jiang and Weiping Ding, “SCNN: Spike Coupling Neural Network for Multimodal Brain Network Analysis,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). DOI: 10.1109/ ICASSP49660.2025.10889757

261. Dexuan Xu, Yanyuan Chen, Zhongyan Chai, Yifan Xiao, Yandong Yan, Weiping Ding, Hanpin Wang, Zhi Jin, Wenpin Jiao, Weihua Yue, Hang Li, Yu Huang,"Deep Learning-based Medical Vision-Language Models: A Review," Information Fusion 125 (2026) 103455. https://doi.org/ 10.1016/j.inffus.2025.103455

262. Jiaru Yang, Yaotong Song, Weiping Ding, Jun Tang, Zhenyu Lei, Shangce Gao,"Multi-Attention-Powered Learning Genetic Algorithm for Real-world 3D Wind Farm Layout Optimization," Swarm and Evolutionary Computation 97 (2025) 102018. https://doi.org/10.1016/j.swevo.2025.102018

263. Shaofeng Liang, Runwei Guan, Wangwang Lian, Daizong Liu, Xiaolou Sun, Dongming Wu, Yutao Yue, Weiping Ding, Hui Xiong, "Cognitive Disentanglement for Referring Multi-Object Tracking," Information Fusion 124 (2025) 103349.  https://doi.org/10.1016/j.inffus.2025. 103349

264. Ya'nan Guan, Yongchao Qiao, Shujiao Liao, Wenyuan Yang, Weiping Ding, "WrdaGAN: A text-to-image synthesis pipeline based on Wavelet Representation and Adaptive Sample Domain Constraint strategy," Engineering Applications of Artificial Intelligence  158 (2025) 111305. https://doi.org/10.1016/j.engappai.2025.111305

265. Mingying Xu, Wenxuan Zhang, Jie Liu, Lei Shi and Kaiyang Zhong,"Fine-Grained Entity Typing Based on Label-Context Interaction and Hyperbolic Representation,” Information Sciences 719 (2025) 122434. https://doi.org/10.1016/j.ins.2025.122434

266. Chunyun Meng, Cheng Tang, Yuki Todo, Weiping Ding, "Multi-Granular Legal Information Fusion with Adversarial Compensation: A Hierarchical and Logic-Aware Framework for Robust Case Retrieval,” Knowledge-Based Systems 325 (2025) 113964. https://doi.org/ 10.1016/ j.knosys. 2025.113964

267. Man Zhang, Jianhong Chen, Haibin Ouyang, Shangbin Long, Steven Li, Chunliang Zhang, Weiping Ding, Essam H. Houssein,"Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm," Engineering Science and Technology, an International Journal 69 (2025) 102137. https://doi.org/10.1016/j.jestch.2025.102137

268. Yonghe Chu, Yanlong Guo, Weiping Ding, Heling Cao and Peng Ping,"Broad Learning Systems: An Overview of Recent Advances, Applications, Challenges and Future Directions," Neurocomputing, 641 (2025) 130337. https://doi.org/10.1016/j.neucom.2025.130337

269. Yuqing Qian, Yizheng Wang, Junkai Liu, Quan Zou, Yijie Ding, Xiaoyi Guo, Weiping Ding,“A survey on multi-view fusion for predicting links in biomedical bipartite networks:Method and applications,” Information Fusion, 117 (2025) 102894.  https://doi.org/10.1016/j.inffus. 2024.102894

270. Anhui Tan, Yu Wang, Wei-Zhi Wu, Weiping Ding, Jiye Liang, “Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning,” Information Fusion, 123 (2025) 103309. https://doi.org/10.1016/j.inffus.2025.103309

271. Liu Min, Chen Jianhong, Fan Xiaoping, Ouyang Haibin, Steven Li, Zhang Chunliang, Ding Weiping, "Altruistic Nurturing Algorithm for Multi-Objective Autonomous Underwater Vehicles Path Planning Problems,"China Communications, 2025, 22(5): 350-371.

272. Bozhen Chen, Haibin Ouyang, Steven Li, Liqun Gao, Weiping Ding, “ Photovoltaic parameter extraction through an adaptive differential evolution algorithm with multiple linear regression,”Applied Soft Computing,176 (2025) 113117.  https://doi.org/10.1016/ j.asoc. 2025.113117

273. Guangzu Lv, Bin Wang, Cunlu Xu, Weiping Ding, Jun Liu, “Multi-stage feature fusion network for polyp segmentation,” Applied Soft Computing, 175 (2025) 113034. https://doi.org /10.1016/j.asoc.2025.113034

274. Zeshi Chen, Caiping Peng, Shuai Liu, Weiping Ding,“Visual Object Tracking: Review and Challenges,”Applied Soft Computing,177 (2025) 113140. https://doi.org/10.1016 /j.asoc.2025.113140

275. Qingzhi Lan, Yaozu Wu, Weiping Ding, Jingping Yuan,"Effective Latent Hierarchical Feature Fusion in Multiple Instance Learning for Whole Slide Image Classification,”Applied Soft Computing, 177 (2025) 113191. https://doi.org/10.1016/j.asoc.2025.113191

276. Linxing Zhu, Shu Jiang, Hai Zhao, Zuchao Li, Jiashuang Huang, Weiping Ding, Bao-Liang Lv, "Document-level Neural Machine Translation with Document Embeddings," IEEE ACCESS. DOI: 10.1109/ACCESS.2025.3568089

277. Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu,Yike Guo, Eleda Johson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew Piggott, Cesar Quilodran, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci, “Machine learning for modelling unstructured grid data in computational physics: a review,” Information Fusion, 123 (2025) 103255. https://doi.org/10.1016/j.inffus.2025.103255

278. Shahid Hussain Gurmani, Muhammad Jabir Khan, Weiping Ding , Rana Muhammad Zulqarnain, “Aczel–Alsina operations‐based linguistic q-rung orthopair fuzzy aggregation operators  and their application for EVCSs site selection,”Engineering Applications of Artificial Intelligence, 154 (2025) 110989. https://doi.org/10.1016/j.engappai.2025.110989

279. Liguo Fei, Tao Li, Weiping Ding,"A state-of-the-art survey on neural computation-enhanced Dempster–Shafer theory for safety accidents: Applications, challenges, and future directions,”Neurocomputing, 643 (2025) 130419. https://doi.org/10.1016/j.neucom. 2025.130419

280. Ta Zhou, Wei Yan, Zhengxin Xia, Shuihua Wang, Ge Ren, Bing Li, Weiping Ding and Jing Cai,"Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge mergence,”Neural Networks, 189 (2025) 107576.https://doi.org/10.1016 /j.neunet.2025.107576

281. Juan Lu，Huailong Mu, Haibin Ouyang, Zhenkun Zhang, Weiping Ding,"Modeling and effect analysis of machining parameters for surface roughness and specific energy consumption during TC18 machining using deep reinforcement learning and neural networks," Artificial Intelligence Review  (2025) 58:193. https://doi.org/10.1007/s10462-025-11178-x

282. Lili Zhao, Yuanyuan Xu, Jian Xu, Weiping Ding, Jinzhao Yang, Huiyu Zhou, Yiming Du, Bin Hu, Lichi Zhang, Qian Wang,"Deep Content and Contrastive Perception Learning for Automatic Fetal Nuchal Translucency Image Quality Assessment,” Engineering Applications of Artificial Intelligence,” Engineering Applications of Artificial Intelligence 152 (2025) 110687. https://doi.org/10.1016/j.engappai.2025.110687

283. Hassan A. Alsattar, Sarah Qahtan , Nahia Mourad, A.A. Zaidan, Muhammet Deveci, Dragan Pamucar, Jurgita Antucheviciene, Weiping Ding,”A decision modeling approach for the development of sustainable transportation oil companies,” Engineering Applications of Artificial Intelligence, 150 (2025) 110623. https://doi.org/10.1016/j.engappai.2025.110623

284. Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding, "Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction,"  Scientific Reports, 2025, 15:10470. https://doi.org/10.1038/s41598-025-93770-3.

285. Bin Yu, Xu He, Weiping Ding, "A classification method based on dominance neighborhood granularity," Knowledge-Based Systems 316 (2025) 113276. https://doi.org/10.1016/j. knosys.2025.113276

286. Chang He, Haibin Ouyang, Weiqing Huang, Steven Li, Chunliang Zhang, Weiping Ding, Zhi-Hui Zhan, "An adaptive heuristic algorithm with a collaborative search framework for multi-UAV inspection planning,”Applied Soft Computing Journal 174 (2025) 112969. https://doi.org/10.1016/j.asoc.2025.112969

287. Muhammad Jabir Khan, Jose Carlos R. Alcantud, Muhammad Akram, Weiping Ding,“Separable N-soft sets: a tool for multinary descriptions with large-scale parameter sets," Applied Intelligence, (2025) 55:561. https://doi.org/10.1007/s10489-025-06435-z

288. Yonghe Chu, Jun Cao,Weiping Ding, Jiashuang Huang, Hengrong Ju,Heling Cao, “FDBFN: Fuzzy Discriminative Broad Fusion Network for Hyperspectral Image Classification,"Expert Systems With Applications, 266 (2025) 126026. https://doi.org/10.1016/j.eswa.2024.126026

289. Long Wen, Shaoquan Su, Xinyu Li, Weiping Ding, Ke Feng, "GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation,"Mechanical Systems and Signal Processing, 220 (2024) 111663. https://doi.org/10.1016/j.ymssp.2024.111663

290. Muhammad Jabir Khan, Weiping Ding, Shu Jiang, Muhammad Akramb,“Group decision making using circular intuitionistic fuzzy preference relations, ”Expert Systems With Applications 270 (2025) 126502. https://doi.org/10.1016/j.eswa.2025.126502

291. Yonghe Chu, Jun Cao, Guangen Liu, Jiashuang Huang, Hengrong Ju, Heling Cao, Weiping Ding, "GLGBN: Global-Local Graph Convolutional Broad Network for Hyperspectral Image Classification," Applied Soft Computing 170 (2025) 112723. https://doi.org/10.1016/j.asoc. 2025.112723.

292. Zhenhao Qi, Huilai Zhi, Weiping Ding, "Distributed Conflict Analysis Across Varying Analysis Levels Based on Fuzzy Formal Contexts,"Information Sciences  707 (2025) 122038. https://doi.org/10.1016/j.ins.2025.122038

293. Lin Sun, Feng Xu, Weiping Ding, Jiucheng Xu, "AFIFC: Adaptive Fuzzy Neighborhood Mutual Information-Based Feature Selection via Label Correlation,” Pattern Recognition,164 (2025) 111577. https://doi.org/10.1016/j.patcog.2025.111577

294. Qunpo Liu, Yi Zhao, Weiping Ding, Xuhui Bu,Naohiko Hanajima, "Fill-UNet：Extended Composite Semantic Segmentation," Applied Soft Computing, 172 (2025) 112891. https://doi.org/10.1016/j.asoc.2025.112891

295. Zhenquan Shi, Wengjian Zhang, Jiashuang Huang, and Weiping Ding,“JLR-GCN: Joint Label-aware and Relation-aware Graph Convolution Neural Network for Heterogeneous Graph Representations,"Information Sciences,706 (2025) 122011.https://doi.org/10.1016/j.ins. 2025. 122011

296. Runwei Guan,Rongsheng Hu,Zhuhao Zhou,Tianlang Xue,Ka Lok Man,Jeremy Smith,Eng Gee Lim, Weiping Ding, Yutao Yue,”Referring Flexible Image Restoration,”Expert Systems With Applications, 274 (2025) 126857.  https://doi.org/10.1016/j.eswa.2025.126857

297. Sarah Qahtan,Nahia Mourad,H. A. Alsattar, A. A. Zaidan, B. B. Zaidan, Dragan Pamucar, Vladimir Simic, Weiping Ding, Khaironi Yatim,"Three‑way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular q‑Rung Orthopair Fuzzy Set for Ranking and Grading Large Language Models,"Cognitive Computation, (2025) 17:77. https://doi.org/10.1007/s12559-025-10432-2

298. Tao Yin, Weiping Ding, Hengrong Ju, Jiashuang Huang, Yuepeng Chen,”The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule,” Applied Soft Computing 170 (2025) 112721. https://doi.org/10.1016/j.asoc.2025.112721

299. Bozhen Chen, Haibin Ouyang, Steven Li and Weiping Ding,"Dual-Stage Self-Adaptive Differential Evolution with Complementary and Ensemble Mutation Strategies for Solving Global Optimization Problems,”Swarm and Evolutionary Computation 93 (2025) 101855.  https://doi.org/10.1016/j.swevo.2025.101855

300. Qianqian Sun, Hongying Zhang, Weiping Ding,“Semi-supervised partially labeled heterogeneous feature selection based on information-theoretic three-way decision model,”Applied Soft Computing,174 (2025) 112880.  https://doi.org/10.1016/j.asoc. 2025.112880

301. Jiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, Daoqiang Zhang, "Local Structural-Functional Coupling with Counterfactual Explanations for Epilepsy Prediction,” NeuroImage, 306 (2025) 120978. https://doi.org/ 10.1016/j.neuroimage.2024.120978

302. Yuhao Jin, Xiaoyu Xia, Qizhong Gao, Yong Yue, Eng Gee Lim, Prudence Wong, Weiping Ding, Xiaohui Zhu,"Deep Learning in Produce Perception of Harvesting Robots: A Comprehensive Review,” Applied Soft Computing, 174 (2025) 112971. https://doi.org/10.1016/j.asoc.2025. 112971

303. Bin Hu, Sai Yang, Fan Liu; Weiping Ding,“Collaborative Semantic Contrastive for All-in-One Image Restoration,” Engineering Applications of Artificial Intelligence,143 (2025) 110017.  https://doi.org/10.1016/j.engappai.2025.110017

304. Ruihui Xu, Bin Yu, Weiping Ding, "A clustering algorithm based on dominating (dominated) roughness,"Neurocomputing, 630 (2025) 129705. https://doi.org/10.1016/j.neucom.2025. 129705

305. Hengrong Ju, Jiarong Li, Weiping Ding, Xiaoxue Fan, Jiashuang Huang, Suping Xu, Xibei Yang, “Class-specific semi-supervised feature selection with fuzzy convex balling information granularity,” Information Sciences, 700 (2025) 121821. https://doi.org/10.1016/j.ins. 2024.121821

306. Yani Chen, Chunwu Zhang, Ruibin Bai, Tengfang Sun, Weiping Ding, Ruili Wang,"A Review of Medical Text Analysis: Theory and Practice,”Information Fusion,119 (2025) 103024. https://doi.org/10.1016/j.inffus.2025.103024

307. Lin Sun, Wenjuan Du, Weiping Ding, and Jiucheng Xu,"Granular Ball-based Fuzzy Multineighborhood Rough Set for Feature Selection via Label Enhancement,”Engineering Applications of Artificial Intelligence,145 (2025) 110191. https://doi.org/10.1016/j.engappai.2025.110191

308. Qi Dai, Longhui Wang, Jing Zhang, Weiping Ding, Li-fang Chen, “GQEO: Nearest Neighbor Graph-based Generalized Quadrilateral element Oversampling for Class-imbalance Problemm,”Neural Networks，184 (2025) 107107. https://doi.org/10.1016/j.neunet. 2024.107107

309. Yonghe Chu, Jun Cao,Weiping Ding,Jiashuang Huang,Hengrong Ju,Heling Cao, “FDBFN: Fuzzy Discriminative Broad Fusion Network for Hyperspectral Image Classification,”Expert Systems With Applications, 266 (2025) 126026. https://doi.org/10.1016/j.eswa.2024.126026

310. Yonghao Li, Xiangkun Wang, Xin Yang, Wanfu Gao, Weiping Ding, Tianrui Li, “Fusion-enhanced multi-label feature selection with sparse supplementation,”Information Fusion 117 (2025) 102813. https://doi.org/10.1016/j.inffus.2024.102813

311. Xiaoan Tang, Tianxiang Tang, Zibo Shen, Handong Zheng, Weiping Ding,”Double deep Q-network-based dynamic offloading decision-making for mobile edge computing with regular hexagonal deployment structure of servers,” Applied Soft Computing.169 (2025) 112594. https://doi.org/10.1016/j.asoc.2024.112594

312. Sarah Qahtan, Aws. Alaa Zaidan, Nahia Mourad, Hassan A. Ibrahim, Bilal Bahaa, Weiping Ding, “Robust Three-Way Decisions Based on Ensembled Multi-Divergence Measures with Circular Quintic Fuzzy Sets for Developing Swarm Robots in Mechanized Agricultural Operations,” Expert Systems With Applications，266 (2025) 126102. https://doi.org/ 10.1016/ j.eswa.2024.126102

313. Weiping Ding, Hongcheng Yao, Jiashuang Huang, Tao Hou,Yu Geng,”Evolutionary Multistage Multitasking Method for Feature Selection in Imbalanced Data,”Swarm and Evolutionary Computation，92 (2025) 101821. https://doi.org/10.1016/j.swevo.2024.101821

314. Jiale Lei, Linghe Kong, Chi Xu, Chenren Xu, Kai Lin, Yueping Cai, Yanzhao Su, Zhen Wang, Bangyu Li, Xiaoguang Chen, Feng Gao,"Fusion of Heterogeneous Industrial Wireless Networks: A Survey," Computer Networks, 257 (2025) 110929. https://doi.org/10.1016/ j.comnet.2024.110929

315. Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang, “MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for Brain Networks and Its Application to Epilepsy Identification,” Artificial Intelligence in Medicine 157 (2024) 102990

316. Peng Ping, Zhengpeng Yang, Quan Shi, Weiping Ding, “BEV-TinySpotter: A novel BEV perception method considering small target detection enhancement,” Information Fusion  116 (2025) 102793. https://doi.org/10.1016/j.inffus.2024.102793

317. Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng,  Weiping Ding, “Semi-supervised multi-view feature selection with adaptive similarity fusion and learning,” Pattern Recognition, 159 (2025) 111159. https://doi.org/10.1016/ j.patcog.2024.111159

318. Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-Ming Cheung，and Weiping Ding,”Label Disambiguation-Based Feature Selection for Partial Multi-label Learning,” ICPR 2024, LNCS 15307, pp. 1–15, 2025. https://doi.org/10.1007/978-3-031-78183-4_17

319. Supriyo Ahmed, Ripon K. Chakrabortty, Daryl L. Essam, and Weiping Ding, “A Switching Based Forecasting Approach for Forecasting Sales Data in Supply Chains,”Applied Soft Computing, 167 (2024) 112419. https://doi.org/10.1016/j.asoc.2024.112419 

320. Zuhe Li, Panbo Liu, Yushan Pan, Weiping Ding, Jun Yu, Haoran Chen, Weihua Liu, Yiming Luo, Hao Wang,"Multimodal sentiment analysis based on disentangled representation learning and cross-modal-context association mining,” Neurocomputing, 617 (2025) 128940. https://doi.org/10.1016/j.neucom.2024.128940

321. Shijiao Ding, Maomao Xiong, Zekai Zhang, Qinghui Chen, Jinglin Zhang, Xinghua Wang, Xing Wang, Zaigui Zhang, Sen Xu, Weiping Ding, “Dynamic Feature and Context Enhancement Network for Faster Detection of Small Objects” Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2024.125732

322. Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, and Weiping Ding,"Graph-in-Graph Discriminative Feature Enhancement Network for Fine-grained Visual Classification"  Applied Intelligence,55,(22)2025. https://doi.org/10.1007/s10489-024-05846-8

323. Tao Hou, Weiping Ding,  Jiashuang Huang, Shu Jiang, Hongcheng Yao, Tianyi Zhou, Hengrong Ju, Quality-Aware Fuzzy Min-Max Neural Networks for Brain Network Analysis”. Applied Soft Computing, 169 (2025) 112538. https://doi.org/10.1016/j.asoc.2024.112538

324. Hai-Long Yang,  Yin-Feng Zhou, and Jin-Jin Li, Weiping Ding, “A concept fringe-based concept-cognitive learning method in skill context,” Knowledge-Based Systems 305 (2024) 112618. https://doi.org/10.1016/j.knosys.2024.112618

325. Jianming Zhan, Xianfeng Huang, Weiping Ding,"Hybrid multivariate time series prediction system fusing transfer entropy and local relative density," Information Fusion 117 (2025) 102817.  https://doi.org/10.1016/j.inffus.2024.102817

326. Yunfei He, Zhiqiang Zhang, Jinlong Shen, Yuling Li, Yiwen Zhang, Weiping Ding, Fei Yang, “Robust Chinese Clinical Named Entity Recognition with information bottleneck and adversarial training,” Applied Soft Computing, 167 (2024) 112409. https://doi.org/10.1016/ j.asoc.2024.112409

327. Weiping Ding, Tao Hou, Jiashuang Huang, Hengrong Ju, Shu Jiang, “DEF-NNs: Dynamic Evidence Fusion Neural Networks for Brain Network Analysis,” Information Sciences 691 (2025) 121622.  https://doi.org/10.1016/j.ins.2024.121622

328. Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng,  Weiping Ding, “Semi-supervised multi-view feature selection with adaptive similarity fusion and learning,” Pattern Recognition, 159 (2025) 111159. https://doi.org/10.1016 /j.patcog.2024.111159

329. Shuo Wang, Meng Liu, Yan Li, Xinyu Zhang, Mengting Sun, Zian Wang, Ruokun Li, Qirong Li, Qing Li, Yili He, Xumei Hu, Longyu Sun, Fuhua Yan, Mengyao Yu, Weiping Ding, Chengyan Wang “Recent Advances in Data-driven Fusion of Multi-modal Imaging and Genomics for Precision Medicine,” Information Fusion，115 (2025) 102738

330. Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, and Witold Pedrycz, “FTransCNN: Fusing Transformer and a CNN based on Fuzzy Logic for Uncertain Medical Image Segmentation,” Information Fusion 99 (2023) 101880. doi: https://doi.org/10.1016/j.inffus.2023.101880  

331. Hai-Long Yang,  Yin-Feng Zhou, and Jin-Jin Li, Weiping Ding, “A concept fringe-based concept-cognitive learning method in skill context,” Knowledge-Based Systems 305 (2024) 112618.  https://doi.org/10.1016/j.knosys.2024.112618

332. Muhammet Deveci, Dursun Delen, Weiping Ding, “AI-based Decision Support Systems for Sustainable Business Management Under Circular Economy,” Annals of Operations Research. Doi:10.1007/s10479-024-06347-0

333. Jiashuang Huang,Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang,“MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for Brain Networks and Its Application to Epilepsy Identification,”Artificial Intelligence in Medicine, 157 (2024) 102990. https://doi.org/10.1016/j.artmed.2024. 102990

334. Ziqiang Gao, Linlin Zhou, Weiping Ding, Haipeng Wang,"A Retinal Vessel Segmentation Network Approach based on Rough Sets and Attention Fusion Module," Information Sciences, 678 (2024) 121015. https://doi.org/10.1016/j.ins. 2024.121015

335. Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong(Jimmy) Cao, Jun Liu, Abhirup Banerjee,”New trends of adversarial machine learning for data fusion and intelligent system,” Information Fusion, https://doi.org/10.1016/j.inffus.2024.102683

336. Xiuyi Jia, Qiaowanni Lin, Weiping Ding, "An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction," Applied Soft Computing, 166 (2024) 112240. https://doi.org/10.1016/j.asoc.2024.112240

337. Weiping Ding, Mohamed Abdel-Basset, Ahmed A. Ali  and Nour Moustafa, “A Survey of Intelligent Multimedia Forensics for Internet of Things Communications: Approaches, strategies, perspectives, and Challenges for a Sustainable Future” Engineering Applications of Artificial Intelligence, 138 (2024) 109451.https://doi.org/10.1016/j.engappai.2024.109451

338. Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao and Guangen Liu, “Hyperspectral Image Classification Using Feature Fusion Fuzzy Graph Broad Network," Information Sciences 689 (2025) 121504. https://doi.org/10.1016/ j.ins.2024.121504

339. Zuowei Zhang, Arnaud Martin, Yiru Zhang, and Zhunga Liu,  Weiping Ding,. A Survey of Evidential Clustering: Definitions, Methods, and Applications, Information Fusion 115 (2025) 102736. https://doi.org/10.1016/j.inffus.2024.102736

340. Hengrong Ju, Jing Guo; Weiping Ding, Xibei Yang, “D3WC: Deep Three-way Clustering with Granular Evidence Fusion,” Information Fusion 114 (2025) 102699. https://doi.org/10.1016/ j.inffus.2024.102699

341. Salem Garfan, Bilal Bahaa Zaidan, Aws Alaa Zaidan; Sarah Qahtan, Hassan Abdulsattar Ibrahim,  Muhammet Deveci, Zhen-Song Chen, Weiping Ding,“Can Smartphones Serve as an Instrument for Driver Behavior of Intelligent Transportation Systems Research? A Systematic Review: Challenges, Motivations, and Recommendations,” Pervasive and Mobile Computing, 105 (2024) 101978. https://doi.org/10.1016/j.pmcj.2024.101978 

342. Jinxin Cao, Weizhong Xu, Weiping Ding, Hengrong Ju, Xiaoyang Zou, Lu Liu, Fuxiang Chen, and Di Jin, “ELSNC: A Semi-supervised Community Detection Method with Integration of Embedding-enhanced Links and Node Content in Attributed Networks," Applied Soft Computing 167 (2024) 112250. https://doi.org/10.1016/j.asoc.2024.112250

343. Lin Sun, Haibo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang, “ CMEFS: Chaotic Mapping-Based Mayfly Optimization with Fuzzy Entropy for Feature,”Applied Intelligence, 2024, 54: 7397-7417. https://doi.org/10.1007/s10489-024-05555-2

344. Chun-Hsiang Chuang, Shao-Xun Fang, Chih-Sheng Huang, Weiping Ding, “InfoFlowNet: A Multi-head Attention-based Self-supervised Learning Model with Surrogate Approach for Uncovering Brain Effective Connectivity,” Engineering Applications of Artificial Intelligence, 138 (2024) 109347. https://doi.org/10.1016/j.engappai.2024.109347

345. Ruihua Wang, Jianfeng Xu, Yuanjian Zhang, Weiping Ding, “Adaptive Sequential Three-way Decisions for Dynamic Time Warping” Information Sciences, 690 (2025) 121541. https://doi.org/10.1016/j.ins.2024.121541

346. Liguo Fei, Tao Li， Xiaoyu Liu，Weiping Ding,“A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theory,”Information Sciences  686(2025) 121373. https://doi.org/10.1016/j.ins.2024.121373

347. Xuxue Sun, Nan Kong, Weiping Ding, Ying Li, Nazmus Sakib, Hao Zeng, Hongdao Meng,Chris Masterson, Mingyang Li, “An Intelligent Decision Support Framework for Nursing Home Resource Planning with Enhanced Heterogeneous Service Demand Modeling,” Engineering Applications of Artifcial Intelligence 137 (2024) 109221. https://doi.org/10.1016/j.engappai. 2024.109221

348. Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong(Jimmy) Cao, Jun Liu, Abhirup Banerjee,”New trends of adversarial machine learning for data fusion and intelligent system,” Information Fusion, https://doi.org/10.1016/j.inffus.2024.102683 

349. Xiuyi Jia, Qiaowanni Lin, Weiping Ding,”An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction,”  Applied Soft Computing, 166 (2024) 112240. https://doi.org/10.1016/j.asoc.2024.112240 

350. Sarah Qahtan, Nahia Mourad, Hassan A.Ibrahim, Aws Alaa Zaidan, Bilal Bahaa, Muhammet Deveci, Weiping Dingi, Dragan Pamucar, Witold Pedrycz , Saraswathy Shamini,”Normal Wiggly Hesitant Fuzzy Modelling Approach for 6G Frameworks based Blockchain Technology,” Expert Systems With Applications 259 (2025) 125304. https://doi.org/10.1016/j.eswa.2024.125304

351. Xuanming Chang, Beijing Chen, Weiping Ding, Xin Liao,”A DNN Robust Video Watermarking Method in Dual-Tree Complex Wavelet Transform Domain,” Journal of Information Security and Applications,85 (2024) 103868. https://doi.org/10.1016/j.jisa.2024.103868

352. Weiping Ding, Jing Wang, Jiashuang Huang, Chun Cheng, Tao Yin, Jiang Shu,”MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion”Information Sciences   687 (2025) 121376. https://doi.org/10.1016/j.ins.2024.121376

353. Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Lu Liu, Anthony Miller, Zhenquan Shi, Weiping Ding “A Unified Framework of Semi-Supervised Community Detection Integrating Network Topology and Node Content, ” Information Sciences ,686 (2025) 121349. https://doi.org/10.1016/j.ins.2024.121349  

354. Wenbin Qian, Jiale Liu, Yihui Li, Weiping Ding, Jintao Huang, “Partial Label Feature Selection based on Noisy Manifold with Label Distribution,” Pattern Recognition, 2024, 156: 110791. https://doi.org/10.1016/j.patcog.2024.110791

355. Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou,”FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation,” Information Fusion 112 (2024) 102540. https://doi.org/10.1016/ j.inffus.2024.102540

356. Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang,  Guang Yang, and   Chin-Teng Lin, “RCAR-UNet: Retinal Vessel Segmentation Network Algorithm via Novel Rough Attention Mechanism,”  Information Sciences, 657 (2024) 120007. https://doi.org/10.1016 /j.ins.2023.120007

357. Junwei Duan, Jiaqi Xiong, Yinghui Li  and Weiping Ding, “Deep learning based multimodal biomedical data fusion: An overview and comparative review,” Information Fusion，112 (2024) 102536. https://doi.org/10.1016/j.inffus.2024.102536

358. Muhammad Jabir Khan, Shu Jiang, Weiping Ding, Jiashuang Huang, Haipeng Wang,“An Infrared and Visible Image Fusion using Knowledge Measures for Intuitionistic Fuzzy Sets and Swin Transformer,” Information Sciences 684 (2024) 121291. https://doi.org/10.1016/j.ins.2024.121291

359. Pingting Hao, Weiping Ding, Wanfu Gao, Jialong He, “Exploring View-Specific Label Relationships for Multi-View Multi-Label Feature Selection,”Information Sciences，681 (2024) 121215.  https://doi.org/10.1016/j.ins.2024.121215

360. Liguo Fei, Tao Li, Weiping Ding,“Dempster-Shafer theory-based information fusion for natural disaster emergency management: a systematic literature review,”Information Fusion，112 (2024) 102585.  https://doi.org/10.1016/j.inffus.2024.102585

361. Chenlu Zhu, Xiaodi Liu, Weiping Ding, Shitao Zhang Hao Xu,”Cloud model-based multi-stage multi-attribute decision-making method under probabilistic interval-valued hesitant fuzzy environment,” Expert Systems with Applications 255 (2024) 124595. https://doi.org/ 10.1016/j.eswa.2024.124595

362. Guangming Lang, Weiping Ding, Duoqian Miao, Hamido Fujita, Yiyu Yao, “Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information,” Applied Soft Computing  164 (2024) 111939. https://doi.org/10.1016/ j.asoc.2024.111939

363. Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding,“Partial Label Feature Selection based on Noisy Manifold with Label Distribution,”Pattern Recognition, 156 (2024) 110791.  https://doi.org/10.1016/j.patcog.2024.110791

364. Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, and Weiping Ding, “Adversarially Attack Feature Similarity for FineGrained Visual Classification,” Applied Soft Computing Journal 163 (2024) 111945. https://doi.org/10.1016/j.asoc.2024.111945 

365. Weiping Ding,  Ibrahim Alrashdi, Hossam Hawash and Mohamed Abdel-Basset，“DeepSecDrive: An Explainable Deep Learning Framework for Real-Time Detection of Cyberattack in In-Vehicle Networks” Information Sciences, 658 (2024) 120057. https://doi.org/10.1016/j.ins.2023.120057  

366. Lin Sun, Qifeng Zhang, Weiping Ding, Jiucheng Xu, “Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection”Knowledge-Based Systems  299 (2024) 112125. https://doi.org/10.1016/j.knosys.2024.112125

367. Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuagn Huang, Tao Yin, “A Distributed Attribute Reduction based on Neighborhood Evidential Conflict Rate with Apache Spark,” Information Sciences, 668 (2024) 120521. https://doi.org/10.1016/j.ins.2024.120521

368. Yaxin Hou, Weiping Ding, Chongsheng Zhang, "imFTP: Deep Imbalance Learning via Fuzzy Transition and Prototypical Learning,” Information Sciences,679 (2024) 121071. https://doi.org/10.1016/j.ins.2024.121071

369. Guangming Lang, Weiping Ding, Duoqian Miao, Hamido Fujita, Yiyu Yao, “Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information,” Applied Soft Computing  164 (2024) 111939.  https://doi.org/10.1016/j.asoc.2024.111939

370. Jicun Jiang, Xiaodi Liu, Zengwen Wang, Weiping Ding, Shitao Zhang“Large group decision-making with a rough integrated asymmetric cloud model under multi-granularity linguistic environment,” Information Sciences,678 (2024) 120994.  https://doi.org/10.1016/j.ins. 2024.120994 

371. Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Weiping Ding,Jinlei Liu, Yanrui Jin, Chengliang Liu,“Differentiated Knowledge Distillation: Patient-Specific Single-Sample Personalization for Electrocardiogram Diagnostic Models,"Engineering Applications of Artificial Intelligence,136 (2024) 108880.  https://doi.org/10.1016/j.engappai. 2024.108880

372. Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen,“Pheromone-Guided Parallel Rough Hypercuboid Attribute Reduction,”  Applied Soft Computing 156 (2024) 111479.   https://doi.org/10.1016/j.asoc.2024.111479

373. Doudou Guo, Weihua Xua, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian,“Concept-Cognitive Learning Survey: Mining and Fusing Knowledge from Data,”Information Fusion 109 (2024) 102426.https://doi.org/10.1016/j.inffus.2024.102426

374. Sheng Li,  Yadong Xu,  Ke Feng,  Yongbo Li, Ke Zhang, Yulin Wang, Weiping Ding, ”Cross-Modal Zero-Sample Diagnosis Framework Utilizing Non-Contact Sensing Data Fusion,”Information Fusion 110 (2024) 102453. https://doi.org/10.1016/j.inffus.2024.102453

375. Cong Huang, Serdar Coskun, Hamid Reza Karimi, Weiping Ding,"A Distributed State and Fault Estimation Scheme for State-Saturated Systems With Quantized Measurements Over Sensor Networks," Information Fusion,110 (2024) 102452. https://doi.org/10.1016 /j.inffus.2024.102452

376. Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang，“Multi-association evidential feature selection and its application to identifying schizophrenia,”Information Sciences 674 (2024) 120647. https://doi.org/10.1016 /j.ins.2024.120647

377. Shancheng Jiang, Zehui Wu, Kun Xiang, Weiping Ding, Zhen-Song Chen,“A Prior Knowledge-guided Distributionally Robust Optimization-based Adversarial Training Strategy for Medical Image Classification,” Information Sciences  673 (2024) 120705.  https://doi.org/10.1016/j.ins.2024.120705

378. Salama A. Mostafa, Sharran Ravi, Dilovan Asaad Zebari, Nechirvan Asaad Zebari, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Muhammet Deveci, Weiping Ding，“A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces,”Information Sciences，676 (2024) 120865.  https://doi.org/10.1016/j.ins.2024.120865

379. Jing Chen, Shengyi Yang, Weiping Ding, Peng Li, Aijun Liu, Hongjun Zhang, Tian Li,” Incremental high average-utility itemset mining: survey and challenges,” Scientific Reports (2024) 14:9924. https://doi.org/10.1038/s41598-024-60279-0

380. Changzhong Wang, Shibing Pei, Xiang Lv, Weiping Ding,“Multiscale collaborative representation for face recognition via class-information fusion,” Pattern Recognition  154 (2024) 110586. https://doi.org/10.1016/j.patcog.2024.110586

381. Xiaoling Wu, Yu-Feng Yu, Long Chen; Weiping Ding, Yingxu Wang, ”Robust Deep Fuzzy K-means Clustering for Image Data,”Pattern Recognition, 153 (2024) 110504.  https://doi.org/10.1016/j.patcog.2024.110504 

382. Sher Lyn Tan, Ganeshsree Selvachandran, Raveendran Paramesran,Weiping Ding,“Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey,” Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-024-10141-3

383. Rongtao Zhang, Xueling Ma, Chao Zhang, Weiping Ding, Jianming Zhan, “GA–FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms,” Information Sciences 669 (2024) 120566.  https://doi.org/10.1016/j.ins.2024.120566

384. Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo,  Zheng Li, Alois Knoll and Weiping Ding,”A Comprehensive Survey of Imitation Learning from Demonstrations: Machine Learning Fusion with Dynamical System,” Information Fusion 108 (2024) 102379. https://doi.org/10.1016/j.inffus.2024.102379 

385. Yunfei He, Li Meng, Jian Ma, Yiwen Zhang, Qun Wu, Weiping Ding, Fei Yang, “Hierarchical Bottleneck for Heterogeneous Graph Representation,” Information Sciences 667 (2024) 120422. https://doi.org/10.1016/j.ins.2024.120422 

386. Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding, “Missing multi-label learning based on the fusion of two-level nonlinear mappings,” Information Fusion 103 (2024) 102105. https://doi.org/10.1016/j.inffus.2023.102105  

387. Yanli Li, Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan, “Contribution-Wise Byzantine-Robust Aggregation for Class-Balanced Federated Learning”Information Sciences, 667 (2024) 120475. https://doi.org/10.1016/j.ins.2024.120475

388. Yuxin Zhao, Xiaobo Li, Changjun Zhou, Hao Peng, Jun Chen, Zhonglong Zheng, Weiping Ding, A Review of Cancer Data Fusion Methods Based on Deep Learning Information Fusion, https://doi.org/10.1016/j.inffus.2024.102361

389. Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu, “SFSLH: Sparse Feature Selection with Local Feature Correlation and High-order Label for Multilabel Learning,” Applied Intelligence https://doi.org/10.1007/s10489-023-05136-9

390. Lin Sun, Yuxuan Ma, Weiping Ding, Zhihao Lu, Jiucheng Xu, “LSFSR: Local Label Correlation-Based Sparse Multilabel Feature Selection with Feature Redundancy” Information Sciences, https://doi.org/10.1016/j.ins.2024.120501

391. Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang and Chi-Man Vong, “Label Correlations-based Multi-label Feature Selection with Label Enhancement,” Engineering Applications of Artificial Intelligence 127 (2024) 107310. https://doi.org/ 10.1016/j.engappai. 2023.107310 

392. Shuai Liu, Yating Li, Yunhe Wang, Weina Fu, Weiping Ding, “Solution of Wide and Micro Background Bias in Contrast Action Representation Learning,” Engineering Applications of Artificial Intelligence 133 (2024) 108244. https://doi.org/10.1016/j.engappai.2024.108244

393. Hengrong Ju, Yang Lu, Weiping Ding,  Jinxin Cao, Xibei Yang,” Three-way evidence theory-based density peak clustering with the principle of justifiable granularity” Applied Soft Computing https://doi.org/10.1016/j.asoc.2023.111217

394. Xiangrui Li, Dongxu Wei, Xiyuan Hu,Liming Zhang,  Weiping Ding, Wen-Liang Hwang, Zhenmin Tang, “Statistical Guarantees for Noisy Tensor Recovery by Fusing Low-rankness on All Orientations in Frequency-original Domains,” Information Fusion，106 (2024) 102262. DOI: 10.1016/j.inffus. 2024.102262  

395. Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu,Weiping Ding, “Cascade & Allocate: A Cross-structure Adversarial Attack against Models Fusing Vision and Language,” Information Fusion，https://doi.org/10.1016/j.inffus.2023.102179  

396. Gleb Beliakov, Jian-Zhang Wu, Weiping Ding, “Representation, optimization and generation of fuzzy measures, ” Information Fusion, https://doi.org/10.1016/j.inffus.2024.102295  

397. Bin Yu, Ruihui Xu, Mingjie Cai, Weiping Ding, “A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern,” Information Fusion, 103 (2024) 102137. https://doi.org/10.1016/j.inffus.2023.102137  

398. Bo Liu, Lejian He, Yuchen Xie, Yuejia Xiang, Li Zhu, Weiping Ding, “Min-JoT: Multimodal infusion Joint Training for Noise Learning in Text and Multimodal Classification Problems," Information Fusion, https://doi.org/10.1016/j.inffus.2023.102071  

399. Rong Jiang, Rui Liu, Tao Zhang, Weiping Ding, Shenghu Tian “An Electronic Medical Record Access Control Model Based on Intuitionistic Fuzzy Trust,” Information Sciences 658 (2024) 120054 https://doi.org/10.1016/j.ins.2023.120054  

400. Xuming Han, Yali Chu, Ke Wang, Limin Wang, Lin Yue, Weiping Ding,  “TAILOR: inTer-feAture distinctIon fiLter fusiOn pRuning,”Information Sciences 665 (2024) 120229. https://doi.org/ 10.1016/j.ins.2024.120229 

401. Weiping Ding, Mohamed Abdel-Basset, Ibrahim Alrashdi, and Hossam Hawash, “Next generation of Computer Vision for Plant Disease Monitoring in Precision Agriculture: A Contemporary Survey, Taxonomy, Experiments, and Future Direction, Information Sciences 665 (2024) 120338.  https://doi.org/10.1016/j.ins.2024.120338

402. Xiao Wang, Yutong Wang, Jing Yang, Xiaofeng Jia, Lijun Li, Weiping Ding, Fei-Yue Wang, "The Survey on Multi-Source Data Fusion in Cyber-Physical-Social Systems: Foundational Infrastructure for Industrial Metaverses and Industries 5.0,”  Information Fusion 107 (2024) 102321. https://doi.org/10.1016/j.inffus.2024.102321 

403. Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You,”Few-Shot Object Detection: Research Advances and Challenges,” Information Fusion 107 (2024) 102307  https://doi.org/10.1016/j.inffus.2024.102307

404. Hangming Zhang, Hanping Hu, Weiping Ding, “VSDHS-CIEA: Color image encryption algorithm based on novel variable-structure discrete hyperchaotic system and cross-plane confusion strategy,” Information Sciences 665 (2024) 120332. https://doi.org/10.1016/j.ins.2024.120332

405. Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz, Weiping Ding, “FRCM: A fuzzy rough c-means clustering method,” Fuzzy Sets and Systems. https://doi.org/10.1016/j.fss.2024.108860

406. Ming Li, Xiaosheng Zhuang, Lu Bai, Weiping Ding,”Multimodal Graph Learning Based on 3D Haar Semi-Tight Framelet for Student Engagement Prediction,” Information Fusion 105 (2024) 102224  https://doi.org/10.1016/j.inffus.2024.102224 

407. Yinxin Bao; Qinqin Shen; Yang Cao; Weiping Ding, Quan Shi,” Residual Attention Enhanced Time-Varying Multi-Factor Graph Convolutional Network for Traffic Flow Prediction,” Engineering Applications of Artificial Intelligence, 133 (2024) 108135，https://doi.org/ 10.1016/j.engappai.2024.108135 

408. [1Xunjin Wu, Jianming Zhan, Tianrui Li, Weiping Ding, Witold Pedrycz, “MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection,” Applied Intelligence, https://doi.org/10.1007 /s10489-024-05280-w

409. Wenbin Qian, Yanqiang Tu, Jintao Huang  and Weiping Ding,  “Partial Multi-Label Learning via Robust Feature Selection and Relevance Fusion Optimization,” Knowledge-Based Systems 286(7):111365. DOI: 10.1016/j.knosys.2023.111365

410. Nana Han, Junsheng Qiao, Tengbiao Li, Weiping Ding,” Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications,” Fuzzy Sets and Systems https://doi.org/10.1016/j.fss.2024.108893 

411. Sher Lyn Tan, Ganeshsree Selvachandran, Weiping Ding, Raveendran Paramesran & Ketan Kotecha, “Cervical Cancer Classification from Pap Smear Images using Deep Convolutional Neural Network Models,” Interdisciplinary Sciences: Computational Life Sciences, https://doi.org/10.1007/s12539-023-00589-5

412. Lin Sun, Mengmeng Li, Weiping Ding,  Jiucheng Xu, “Adaptive Fuzzy Multi-neighborhood Feature Selection with Hybrid Sampling and Its Application for Class-imbalanced Data,” Applied Soft Computing, https://doi.org/10.1016/j.asoc.2023.110968

413. Jicun Jiang, Xiaodi Liu, Zengwen Wang, Weiping Ding, Shitao Zhang,  “Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach,”  Information Fusion, 102 (2024) 102062.  https://doi.org/ 10.1016/j.inffus.2023.102062.  

414. Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz, “Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems,” Information Fusion 2023,99:101860. https://doi.org/10.1016/j.inffus.2023.101860  

415. Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu, Weiping Ding, “MMIEA: Multi-modal Interaction Entity Alignment Model for Knowledge Graph,”  Information Fusion, 100 (2023) 101935. https://doi.org/10.1016/j.inffus.2023.101935  

416. Wenqian Shang, Jiazhao Chai, Jianxiang Cao, Xia Lei, Haibin Zhu, Yongkai Fan, Weiping Ding,“Aspect-level Sentiment Analysis Based on Aspect-Sentence Graph Convolution Network,” Information Fusion ，104 (2024) 102143.  https://doi.org/10.1016/j.inffus.2023.102143   

417. Zhuoxin He, Yaojin Lin, Chenxi Wang, Lei Guo, Jinkun Chen,  Weiping Ding, “Multi-Label Feature Selection Based on Correlation Label Enhancement,” Information Sciences  647(2023) 119526. https://doi.org/10.1016/j.ins.2023.119526  

418. Zhen-Song Chen, Zhuo-Ran Wang , Muhammet Deveci ,Weiping Ding, Witold Pedrycz, Miroslaw J. Skibniewski, “Optimization-based probabilistic decision support for assessing building information modelling maturity considering multiple objectives ,” Information Fusion, 102 (2024) 102026. https://doi.org/10.1016/j.inffus.2023.102026   

419. Pingxin Wang, Xibei Yang, Weiping Ding, Jianmin Zhan, Yiyu Yao, “Three-way clustering: Foundations, Survey and Challenges,” Applied Soft Computing  151 (2024) 111131 https://doi.org/10.1016/j.asoc.2023.111131

420. Huchang Liao, Jiaxin Qi, Jiawei Zhang, Chonghui Zhang, Fan Liu, Weiping Ding, “Mining and fusing unstructured online reviews and structured public index data for hospital selection, ”Information Fusion,103 (2024) 102142. https://doi.org/10.1016/j.inffus.2023.102142  

421. Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu, “SFSLH: Sparse Feature Selection via Local Feature and High-order Label Correlation,” Applied Intelligence, https://doi.org/10.1007 /s10489-023-05136-9

422. Ya’nan Guan, Weiping Ding, Shujiao Liao, Wenyuan Yang,” CycMixer: A simplified and rapidly converging object detection network of query based on cycle mixing,” Engineering Applications of Artificial Intelligence ,127 (2024) 107220 https://doi.org/10.1016/ j.engappai.2023.107220

423. Hassan A. Alsattar, Sarah Qahtan, Nahia Mourad, A.A. Zaidan, Muhammet Deveci, Weiping Ding, “Three-Way Decisions based Conditional Probabilities by Opinion Scores and Bayesian Rules in Circular-Pythagorean Fuzzy Sets for Developing Sustainable Smart Living Framework,”Information Sciences  649 (2023) 119681. https://doi.org/10.1016/j.ins.2023.119681  

424. Benjamín Gutierrez-Serafín, Javier Andreu-Perez, Humberto Pérez-Espinosa, Silke Paulmann; Weiping Ding,” Toward assessment of human voice biomarkers of brain lesions through explainable deep learning,” Biomedical Signal Processing and Control 87 (2024) 105457.https://doi.org/10.1016/j.bspc.2023.105457

425. Wenbin Qian, Fankang Xua, Jin Qian, Wenhao Shu, Weiping Ding, “Multi-label Feature Selection based on Rough Granular-Ball and Label Distribution,” Information Sciences,650 (2023) 119698. https://doi.org/10.1016/j.ins.2023.119698  

426. Chuanbin Zhang, Long Chen, Zhaoyin Shi and Weiping Ding, “Latent Information-Guided One-Step Multi-View Fuzzy Clustering Based on Cross-View Anchor Graph,” Information Fusion 102 (2024) 102025. https://doi.org/10.1016/j.inffus.2023.102025  

427. Yingbai Hu , Xu Wang , Yueyue Liu, Weiping Ding, and Alois Knoll,  “PI-ELM: Reinforcement Learning-based Adaptable Policy Improvement for Dynamical System,” Information Sciences  650 (2023) 119700.  https://doi.org/10.1016/j.ins.2023.119700  

428. Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao, “Survey on Deep Learning in Multimodal Medical Imaging for Cancer Detection,” Neural Computing and Applications,https://doi.org/10.1007/s00521-023-09214-4

429. Lin Sun, Shanshan Si, Weiping Ding,   Xinya Wang, Jiucheng Xu, “ Multiobjective Sparrow Search Feature Selection with Sparrow Ranking and Preference Information and Its Applications for High-Dimensional Data,” Applied Soft Computing, https://doi.org/10.1016/j.asoc.2023.11083

430. Di Jin, Luzhi Wang, He Zhang,  Yizhen Zheng, Weiping Ding,  Feng Xia, Shirui Pan,”A Survey on Fairness-aware Recommender Systems,” Information Fusion 100 (2023) 101906. https://doi.org/10.1016/j.inffus.2023.101906  

431. Ke Wang, Zicong Chen, Xilin Dang, Xuan Fan, Xuming Han, Chien-Ming Chen, WeiPing Ding, Siu-Ming Yiu, “Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation,” Pattern Recognition  (2023), doi: https://doi.org/10.1016/j.patcog.2023.109745

432. Muhammad Anwar Ma’sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko,  “Assessor-guided learning for continual environments,” Information Sciences 640 (2023) 119088. https://doi.org/10.1016/j.ins.2023.119088   

433. Hebing Nie, Qun Wu, Haifeng Zhao, Weiping Ding, Muhammet Devec, “Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction,” Information Fusion,  DOI: 10.1016/j.inffus.2023.101872  

434. Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding, “M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion,” Information Fusion，https://doi.org/10.1016/j.inffus.2023.101962  

435. Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, and Irwin King, “A Survey on Graph Embedding Techniques for Biomedical Data:Methods and Applications,”  Information Fusion 100 (2023) 101909. https://doi.org/10.1016/j.inffus.2023.101909  

436. Xiaobo Li, Qiyong Fu, Qi Li,  Weiping Ding, Feilong Lin, Zhonglong Zheng, “Multi-Objective Binary Grey Wolf Optimization for Feature Selection Based on Guided Mutation Strategy,”  Applied Soft Computing  145 (2023) 110558. https://doi.org/10.1016/j.asoc.2023.110558

437. Zuowei Zhang, Liangbo Ning, Zechao Liu, Qingyu Yang, Weiping Ding, “Mining and Reasoning of Data Uncertainty-induced Imprecision in Deep Image Classification” Information Fusion,  96 (2023) 202–213. DOI: https://doi.org/10.1016/j.inffus. 2023.03.014  .

438. Qinghua Zhang, Ying Yang, Yunlong Chen, Guoyin Wang, Weiping Ding, Weizhi Wu, Weizhi Danilo Pelusi “Information fusion for multi-scale data: Survey and challenges,” Information Fusion,100 (2023) 101954,  doi: https://doi.org/10.1016/j.inffus.2023.101954  

439. Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding, ”A Survey on Multi-label Feature Selection from Perspectives of Label Fusion,” Information Fusion  (2023), doi: https://doi.org/10.1016/j.inffus.2023.101948  .

440. Erfan Babaee Tirkolaee, Ali Ebadi Torkayesh, Madjid Tavana, Alireza Goli, Vladimir Simic, Weiping Ding, “An Intelligent Decision Support System for Resilient-Reliable Supply Chain Network Design,”  Engineering Applications of Artificial Intelligence 126 (2023) 106945 https://doi.org/10.1016/j.engappai.2023.106945

441. Jianghui Sang, Yongli Wang, Weiping Ding, Zaki Ahmad Khan, Lin Xu,” Reward Shaping with Hierarchical Graph Topology”, Pattern Recognition 143 (2023) 109746. https://doi.org/10.1016/j.patcog.2023.109746

442. Marek Moleda, Bożena Małysiak-Mrozek, Weiping Ding,  Vaidy Sunderam, Dariusz Mrozek*, “From corrective to predictive maintenance - a review of maintenance approaches for the power industry,”  Sensor, 2023, 23, 5970. https://doi.org/10.3390/s23135970

443. Pengyu Xue, Liguo Fei, Weiping Ding, “A volunteer allocation optimization model in response to major natura disasters based on improved Dempster-Shafer theory,” Expert Systems with Applications, 236 (2024) 121285. https://doi.org/10.1016/j.eswa.2023.121285

444. Zuhe Li, Qingbing Guo,Yushan Pan, Weiping Ding, Jun Yu,Yazhou Zhang,Weihua Liu,Haoran Chen, Hao Wang,Ying Xie, “Multi-level Correlation Mining Framework with Self-supervised Label Generation for Multimodal Sentiment Analysis,” Information Fusion，99 (2023) 101891 https://doi.org/10.1016/j.inffus.2023.101891  

445. Xunjin Wu, Jianming Zhan,  Weiping Ding, “ TWC-EL: A multivariate prediction model by the fusion of three-way clustering and ensemble learning,”  Information Fusion,100 (2023) 101966, https://doi.org/10.1016/j.inffus.2023.101966  

446. Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz, “Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems,” Information Fusion , 99 (2023) 101860. https://doi.org/10.1016/j.inffus.2023.101860  

447. Deepak Kumar Jain, Shamimul Qamar, Saurabh Raj Sangwan, Weiping Ding, Anand J Kulkarni, “Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures,” ACM Transactions on Asian and Low-Resource Language Information Processing, https://doi.org/10.1145/3624012

448. Priti Bansal, Vincenzo Piuri, Vasile Palade, Weiping Ding, “Topical Collection on Deep Learning in Multimodal Medical Imaging for Cancer Detection” Neural Computing and Applications, https://doi.org/10.1007/s00521-023-08955-6

449.  Weiping Ding, Jun Liu,Chin‐Teng Lin, Dariusz Mrozek, “Special issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data,” Information Sciences DOI: https://doi.org/10.1016/j.ins.2023.118997  .

450. Tian Xie, Weiping Ding, Jinbao Zhang , Xusen Wan and Jiehua Wang, “Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning,” Applied Sciences 2023, 13, 7916. https://doi.org/10.3390/app13137916

451. Di Jin, Luzhi Wang, He Zhang,  Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan,”A Survey on Fairness-aware Recommender Systems,” Information Fusion 100 (2023) 101906. https://doi.org/10.1016/j.inffus.2023.101906  

452. Yecong Wan, Mingwen Shao,Yuanshuo Cheng, Weiping Ding, “Fuzzy-based Cross-Image Pixel Contrastive Learning for Compact Medical Image Segmentation,” Multimedia Tools and Application, https://doi.org/10.1007/s11042-023-16611-3

453. Weijie Xu, Lina Nie, Beijing Chen, and Weiping Ding, “Dual-stream EfficientNet with Adversarial Sample Augmentation for COVID-19 Computer Aided Diagnosis,” Computers in Biology and Medicine,165 (2023) 107451. https://doi.org/10.1016/j.compbiomed.2023.107451

454. Zhengxin Song, Yun Xue, Donghong Gu, Haolan Zhang, Weiping Ding, “Target oriented multimodal sentiment classifcation by using topic model and gating mechanism”, International Journal of Machine Learning and Cybernetics, https://doi.org/10.1007/ s13042-022-01757-7

455. Cong Huang, Peng Mei, Quan Shi and Serdar Coskun, Weiping Ding, “State-Saturated Resilient Filtering for Nonlinear Complex Networks Under Event-Triggering Protocol,” Asian Journal of Control , 2023, 25(2):1216-1231 http://dx.doi.org/10.1002/asjc.2906

456. Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf,  Weiping Ding, “Diagnosis of COVID-19 from X-rays Using Combined CNN-RNN Architecture with Transfer Learning” BenchCouncil Transactions on Benchmarks, Standards and Evaluations，2 (2022) 100088, https://doi.org/10.1016/j.tbench.2023.100088

457. Rongtao Zhang, Xueling Ma, Weiping Ding, Jianming Zhan, “MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions,”Information Sciences, 646 (2023) 119382. https://doi.org/10.1016/j.ins.2023.119382  

458. Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed, “HAR-DeepConvLG: Hybrid Deep Learning–based Model for Human Activity Recognition in IoT Applications,” Information Sciences , 646 (2023) 119394. https://doi.org/10.1016/j.ins.2023.119394  

459. Xiaobo Li, Qiyong Fu, Qi Li, Weiping Ding, Feilong Lin, Zhonglong Zheng, “Multi-Objective Binary Grey Wolf Optimization for Feature Selection Based on Guided Mutation Strategy,”  Applied Soft Computing,  145 (2023) 110558. https://doi.org/10.1016/j.asoc.2023.110558

460. Marek Moleda, Bożena Małysiak-Mrozek, Weiping Ding, Vaidy Sunderam, Dariusz Mrozek, “From corrective to predictive maintenance -A review of maintenance approaches for the power industry,”  Sensor , 2023, 23, 5970. https://doi.org/10.3390/s23135970

461. Anubha Parashar, Apoorva Parashar, Weiping Ding, Mohammad Shabaz, Imad Rida, “Data Preprocessing and Feature Selection Techniques in Gait Recognition: A Comparative Study of Machine Learning and Deep Learning Approaches,” Pattern Recognition Letters, 172 (2023) 65–73. DOI: https://doi.org/10.1016/j.patrec.2023.05.021

462. Hangming Zhang, Hanping Hu, Weiping Ding, “HSVCML: Image encryption algorithm based on Hilbert sorting vector and new spatiotemporal chaotic system,” Optics and Laser Technology,  167 (2023) 109655. DOI:https://doi.org/10.1016/j.optlastec.2023.109655 

463. Lin Sun, Shujing Sun,  Weiping Ding,  Xinyue Huang, Peiyi Fan, Kunyu Li, Leqi Chen, “Feature Selection Using Symmetric Uncertainty and Hybrid Optimization for High-dimensional Data”  International Journal of Machine Learning and Cybernetics,  DOI:  https://doi.org/10.1007/s13042-023-01897-4 

464. Jianghui Sang, Yongli Wang, Weiping Ding,  Zaki Ahmad Khan, Lin Xu,” Reward Shaping with Hierarchical Graph Topology”, Pattern Recognition 143 (2023) 109746. https://doi.org/10.1016/j.patcog.2023.109746 

465. Lin Sun, Shujing Sun, Weiping Ding,  Xinyue Huang, Peiyi Fan, Kunyu Li, Leqi Chen, “Feature Selection Using Symmetric Uncertainty and Hybrid Optimization for High-dimensional Data”  International Journal of Machine Learning and Cybernetics,DOI:  https://doi.org/10.1007 /s13042-023-01897-4

466. Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Cheng, Tao Yin, “Brain age prediction based on resting-state functional MRI using similarity metric convolutional neural network,” IEEE ACCESS, DOI: 10.1109/ACCESS.2023.3283148

467. Hengrong Ju, Weiping Ding, Xibei Yang, and Pingping Gu “Bi-directional adaptive neighborhood rough sets based attribute subset selection,” International Journal of Approximate Reasoning，https://doi.org/10.1016/j.ijar.2023.108966 

468. Dexuan Xu, Huashi Zhu, Yu Huang, Zhi Jin, Weiping Ding, Hang Li, Menglong Ran,  “Vision-knowledge fusion model for multi-domain medical report generation, ” Information Fusion, 97 (2023) 101817 https://doi.org/10.1016/j.inffus.2023.101817  .

469. Tengbiao Li, Junsheng Qiao, Weiping Ding, “Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information,” Information Sciences 638 (2023) 118959  https://doi.org/10.1016/j.ins.2023.118959  .

470. Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu, “A Diabetes Prediction System Based on Incomplete Fused Data Sources” Machine Learning and Knowledge Extraction, 2023, 5, 384–399. https://doi.org/10.3390/make5020023.

471. Aparna Pramanik, Asit Kumar Das, Weiping Ding,  “Graph based fuzzy clustering algorithm for crime report labelling,” Applied Soft Comptuing  141 (2023) 110261  https://doi.org/10.1016/j.asoc.2023.110261.

472. Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, “LEFSA: Label Enhancement-based Feature Selection with Adaptive Neighborhood via Ant Colony Optimization for Multilabel Classification,” International Journal of Machine Learning and Cybernetics, DOI:10.1007/s13042-023-01924-4 

473. Sarah Qahtan, Aws Alaa Zaidan, Hassan Abdulsattar Ibrahim, Muhammet Deveci, Weiping Ding, Dragan Pamucar,” A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set,” Expert Systems With Applications, 224 (2023) 119991

474. Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, Yuanyuan Ma “AMFSA: Adaptive Fuzzy Neighborhood-Based Multilabel Feature Selection with Ant Colony Optimization," Applied Soft Computing  138 (2023) 110211. https://doi.org/10.1016/j.asoc.2023.110211

475. Cong Huang, Quan Shi, Weiping Ding, Ling Liu and Shu Jiang, “A Robust MPC Approach for Platooning Control of Automated Vehicles With Constraints on Acceleration,” Control Engineering Practice(2023) https://doi.org/10.1016/j.conengprac.2023.105648 

476. Chenglong Zhu, Xueling Ma, Chao Zhang, Weiping Ding, Jianming Zhan,” Information granules-based long-term forecasting of time series via BPNN under three-way decision framework,” Information Sciences 634 (2023) 696–715, https://doi.org/10.1016/j.ins.2023.03.133  

477. Xiangbin Liu, Shufen Hou, Shuai Liu,  Weiping Ding, Yudong Zhang,”Attention-based Multimodal Glioma Segmentation with Multi-attention Layers for Small-intensity Dissimilarity,” Journal of King Saud University - Computer and Information Sciences, https://doi.org/10.1016/ j.jksuci.2023.03.011

478. Yinxin Bao, JiaLi Liu, Qinqin Shen, Yang Cao,  Weiping Ding, Quan Shi, “PKET-GCN: Prior Knowledge Enhanced Time-Varying Graph Convolution Network for Traffic Flow Prediction” Information Sciences    634 (2023) 359-381. https://doi.org/10.1016/j.ins.2023.03.093  

479. Mu Nie, Zhibin Quan, Weiping Ding, Wankou Yang, “Enhancing Motion Visual Cues for Self-supervised Video Representation Learning” Engineering Applications of Artificial Intelligence, 123 (2023) 106203. https://doi.org/10.1016/j.engappai.2023.106203

480. Cong Huang, Weiping Ding,  Ruifeng Gao, Peng Mei and Hamidreza Karimi, “Distributed State-of-Charge Estimation for Lithium-Ion Batteries With Random Sensor Failure Under Dynamic Event-Triggering Protocol,”  Information Fusion  95 (2023) 293–305 https://doi.org/10.1016/ j.inffus. 2023.02.032

481. Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed, “DeepAK-IoT: An Effective Deep Learning Model for cyberattack detection in IoT networks”  Information Sciences, 634 (2023) 157-171. https://doi.org/10.1016/j.ins.2023.03.052  

482. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Sara Abdel-Razek, and Chuansheng Liu, “Fed-ESD: Federated Learning for Efficient Epileptic Seizure Detection in the Fog-Assisted Internet of Medical Things,” Information Sciences， 630 (2023) 403–419  DOI: https://doi.org/10.1016/j.ins.2023.02.052  

483. Cong Huang, Weiping Ding, Ruifeng Gao, Peng Mei and Hamidreza Karimi, “Distributed State-of-Charge Estimation for Lithium-Ion Batteries With Random Sensor Failure Under Dynamic Event-Triggering Protocol,”  Information Fusion，95 (2023) 293–305 https://doi.org/10.1016 /j.inffus.2023.02.032

484. Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhenquan Shi, Quan Shi,"Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction,”Engineering Applications of Artificial Intelligence, 121 (2023) 106044. https://doi.org/ 10.1016/j.engappai.2023.106044   

485. Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, “TFSFB: Two-stage Feature Selection via Fusing Fuzzy Multi-neighborhood Rough Set with Binary Whale Optimization for Imbalanced Data ”  Information Fusion 95 (2023) 91–108. https://doi.org/10.1016/j.inffus.2023.02.016   

486. Anubha Parashar, Apoorva Parashar,Weiping Ding,  Rajveer S Shekhawat and Imad Rida,“Deep Learning Pipelines for Recognition of Gait Biometrics with Covariates - A Comprehensive Review,” Artificial Intelligence Review (2023) https://doi.org/10.1007/s10462-022-10365-4 

487. Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, Ruiguo Yu,“A Structure-Enhanced Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning, ” Information Science, 2023, 629: 169–183. https://doi.org/10.1016/j.ins.2023  . 01.113

488. Lin Sun, Shanshan Si, Weiping Ding,  Jiucheng Xu, Yan Zhang，“BSSFS: Binary Sparrow Search Algorithm for Feature Selection,” International Journal of Machine Learning and Cybernetics.   DOI : 10.1007/s13042-023-01788-8.

489. Deepak Kumar Jain, Weiping Ding,Ketan Kotech, “Training Fuzzy Deep Neural Network with Honey Badger Algorithm for Intrusion Detection in Cloud Environment,”  International Journal of Machine Learning and Cybernetics，doi.10.1007/s13042-022-01758-6.

490. Weiping Ding, Mohamed Abdel-Basset, Nour Mostafa, Hossam Hawash “Interval type-2 Fuzzy Temporal Convolutional Autoencoder for Gait-Based Human Identification and Authentication,” Information Sciences, 2022,597: 144-165. doi:10.1016/j.ins. 2022.03.046  

491. Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, Weiping Ding, “TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification,” Information Fusion, 92 (2023) 350–362.doi:10.1016/j.inffus.2022.12.014.  

492. Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu, “Disambiguation-based Partial Label Feature Selection via Feature Dependency and Label Consistency,”   Information Fusion, 94 (2023) 152–168  https://doi.org/10.1016/j.inffus.2023.01.019.  

493. Yuanpeng Zhang, Weiping Ding, “Motor Imagery Classification Via Stacking-based Takagi-Sugeno-Kang Fuzzy Classifier Ensemble” Knowledge-Based Systems, 263 (2023) 110292.

494. doi:10.1016/j.knosys.2023.110292.

495. Weiping Zhang, Mohit Kumar, Weiping Ding, Xiujuan Li, Junfeng Yu, “Variational Learning of Deep Fuzzy Theoretic Nonparametric Model," Neurocomputing, 506 (2022) 128–145. doi: 10.1016/j.neucom.2022.07.029.    

496. Anubha Parashar, Apoorva Parashar, Weiping Ding, Rajveer S Shekhawat and Imad Rida,“Deep Learning Pipelines for Recognition of Gait Biometrics with Covariates - A Comprehensive Review,” Artificial Intelligence Review, https://doi.org/10.1007/s10462-022-10365-4.

497. Changzhong Wang, Xiang Lv, Xiaodong Fan,  Weiping Ding, and Xiaoli Jiang, “Two-channel Deep Recursive Multi-Scale Network Based on Multi-Attention for No-reference Image Quality Assessment,” International Journal of Machine Learning and Cybernetics，https://doi.org/10.1007/s13042-023-01773-1.

498. Pengfei Shi, Li Guo, Chenglizhao Chen, Long Chen and Weiping Ding,  “Pixel and Region Level Information Fusion in Membership Regularized Fuzzy Clustering for Image Segmentation,”  Information Fusion, 92 (2023) 479–497. doi:10.1016/j.inffus.2022.12.008.  

499. Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei-Keshteli, Saeid Jafarzadeh Ghoushchi, Aliakbar Hasani, Muhammet Deveci, Weiping Ding,  “HECON: Weight Assessment of the Product Loyalty Criteria Considering the Customer Decision's Halo Effect Using the Convolutional Neural Networks,” Information Sciences,  623 (2023) 184–205 . doi: 10.1016 /j.ins.2022.12.027.

500. Nezir Aydin, Sukran Seker, Muhammet Deveci, Weiping Ding,  Dursun Delen, “A Linear Programming-based QFD Methodology under Fuzzy Environment to Develop Sustainable Policies in Apparel Retailing Industry,” Journal of Cleaner Production, 387 (2023) 135887.

501.     doi: 10.1016/j.jclepro.2023.135887.

502. Jinghua Liu, Yaojin Lin, Weiping Ding,  Hongbo Zhang, Cheng Wang, Jixiang Du, “Multi-label feature selection based on label distribution and neighborhood rough set,”  Neurocomouting  524 (2023) 142–157. doi:10.1016/j.neucom.2022.11.096.  

503. K. Venkatachalam, Pavel Trojovsk, Nebojsa Bacanin, Muhammet Deveci, Weiping Ding, “Bimodal HAR-An Efficient Approach to Human Activity Analysis and Recognition Using Bimodal Hybrid Classifiers,”  Information Sciences, https://doi.org/10.1016/j.ins.2023.01.121   

504. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Ahmed M. Ali , “Explainability of Artificial Intelligence Methods, Applications and Challenges: A Comprehensive Survey,” Information Sciences, 615 (2022) 238–292. https://doi.org/10.1016/j.ins.2022.10.013  

505. Weiping Ding, Yurui Ming, Yu-Kai Wang, Chin-Teng Lin, “Memory augmented convolutional neural network and its application in bioimages,” Neurocomputing，2021,466:128-138. doi: 10.1016/j.neucom. 2021.09.012  .

506. Weiping Ding, Jiandong Wang, and Jiehua Wang, “Multigranulation Consensus Fuzzy-Rough based Attribute Reduction,” Knowledge-Based Systems, 2020,198, 105945. doi:10.1016 /j.knosys.2020.105945.

507. Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, and WenjianLuo, “Current trends of granular data mining for biomedical data analysis,” Information Sciences, 2020, 510: 341-343. doi: 10.1016/j.ins. 2019.10.002  .

508. Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, and Danilo Pelusi, “Fusion of Intelligent Learning for COVID-19: A State-of-the-Art Review and Analysis on Real Medical Data,” Neurocomputing, 2021,457: 40-66. doi:10.1016/ j.neucom.2021.06.024.

509. Chun Cheng, Yun Luo, Chang-bin Yu and Weiping Ding, “Social bots and mass media manipulate public opinion through dual opinion climate,” Chinese Physics B, 2022, 31 (1): 018701. DOI: 10.1088/1674-1056/ac0baa

510. Cong Huang, Peng Mei, Quan Shi, Serdar Coskun, Weiping Ding, “State-Saturated Resilient Filtering for Nonlinear Complex Networks Under Event-Triggering Protocol,” Asian Journal of Control, DOI:http://doi.org/10.1002/asjc.2906

511. Shuang An, Mengru Zhang, Changzhong Wang, Weiping Ding, “Robust Fuzzy Rough Approximations with kNN Granules for Semi-Supervised Feature Selection,”   Fuzzy Sets and Systems, DOI: https://doi.org/10.1016/j.fss.2023.01.01.

512. Ganeshsree Selvachandran, Shio Gai Quek, Raveendran Paramesran, Weiping Ding,  Le Hoang Son, “Developments in the Detection of Diabetic Retinopathy: A State of the Art Review of Computer-Aided Diagnosis and Machine Learning Methods,” Artificial Intelligence Review, 2023, 56, pp. 915–964, http://dx.doi.org/10.1007/s10462-022-10185-6.

513. Weiping Ding, Chin-Teng Lin, Senbo Chen, Xiaofeng Zhang, Bin Hu, “Multiagent-Consensus- MapReduce-Based attribute reduction using co-evolutionary quantum PSO for big data applications,” Neurocomputing, 2018, 272: 136-153. doi:10.1016/ j.neucom.2017.06.059.

514. Weiping Ding, Chin-Teng Lin, Mukesh Prasad, “Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI,” Expert Systems with Application, 2018, 101, 243-257. doi:10.1016/j.eswa.2018.01.053.

515. Weiping Ding, Jiehua Wang, and Jiandong Wang, “A hierarchical-coevolutionary-MapReduce- based knowledge reduction algorithm with robust ensemble Pareto equilibrium,” Information Sciences, 2016, 342: 153-175. doi:10.1016/ j.ins. 2016. 01.035.

516. Weiping Ding, Zhijin Guan, Quan Shi, and Jiandong Wang, “A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators,” Information Sciences, 2015, 293: 214-234. doi:10.1016/j.ins.2014.09.010.  

517. Weiping Ding, Zhihao Feng, Javier Andreu-Perez, and Witold Pedrycz, “A Derived Multi-population Genetic Algorithm For Adaptive Fuzzy C-Means Clustering,” Neural Processing Letters, DOI: 10.1007/s11063-022-10876-9.

518. Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li, “Parallel incremental efficient attribute reduction algorithm based on attribute tree,”Information Sciences, 610 (2022) 1102–1121. https://doi.org/10.1016/j.ins  . 2022.08.044

519. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Witold Pedrycz, “MIC-Net: A Deep Network for Cross-site Segmentation of COVID-19 Infection in the Fog-assisted IoMT,” Information Sciences 623 (2023) 20–39   https://doi.org/10.1016/j.ins.2022.12.017  .

520. Hengrong Ju, Weiping Ding,  Zhenquan Shi, Jiashuang Huang, Jie Yang, Xibei Yang, “Attribute reduction with personalized information granularity of nearest mutual neighbors”,  Information Sciences 613 (2022) 114–138.https://doi.org/10.1016/j.ins.2022.09.006  .

521. Weiping Ding,  Javier Andreu Perez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek, “Special issue on fuzzy systems for biomedical science in healthcare,” Applied Soft Computing 132 (2023) 109834. doi: https://doi.org/10.1016/j.asoc.2022.109834.

522. Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei-Keshteli, Saeid Jafarzadeh Ghoushchi, Aliakbar Hasani, Muhammet Deveci, Weiping Ding, “HECON: Weight Assessment of the Product Loyalty Criteria Considering the Customer Decision's Halo Effect Using the Convolutional Neural Networks,” Information Sciences   https://doi.org/10.1016/j. ins.2022.12.027

523. Jiashuang Huang, Mingliang Wang, Weiping Ding, Daoqiang Zhang, “SD-CNN: A Static-Dynamic Convolutional Neural Network for Functional Brain Networks,” Medical Image Analysis 83 (2023) 102679. https://doi.org/10.1016/j.media.2022.102679.

524. Sankhadeep Chatterjee, Soumyajit Maity, Mayukh Bhattacharjee, Soumen Banerjee, Asit Kumar Das, Weiping Ding, “Variational Autoencoder based Imbalanced COVID-19 detection using chest X-Ray Images,” New Generation Computing, https://doi.org/10.1007/s00354-022-00194-y.

525. Jiang Deng, Jianming Zhan, Weiping Ding, Peide Liu, Witold Pedrycz, “A novel prospect-theory-based three-way decision methodology in multi-scale information systems ” Artificial Intelligence Review , https://doi.org/10.1007/s10462-022-10339-6.

526. Jianying Chen, Yun Xue, Haolan Zhang, Weiping Ding, Zhengxuan Zhang, Jiehai Chen, “On development of multimodal named entity recognition using part of speech and mixture of experts”, International Journal of Machine Learning and Cybernetics, https://doi.org/ 10.1007/s13042-022-01754-w

527. Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun, “Editorial: special issue on multi-view learning,” Applied Intelligence，https://doi.org/10.1007/s10489-022-03650-w.

528. Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu, Jiucheng Xu, “AFNFS: Adaptive Fuzzy Neighborhood-Based Feature Selection with Adaptive Synthetic Over-sampling for Imbalanced Data,” Information Sciences, https://doi.org/10.1016/j.ins  . 2022.08.118

529. Peng Ping, Cong Huang,  Weiping Ding, Miyajima Chiyomi, Yongkang Liu and Takeda Kazuya, “Distracted Driving Detection Based on the Fusion of Deep Learning and Casual Reasoning”   Information Fusion 89 (2023) 121-142.DOI: https://doi.org/10.1016/j.inffus  . 2022.08.009.

530. Ilgın Gokasar, Dragan Pamucar, Muhammet Deveci, Weiping Ding, “A Novel Rough Numbers based Extended MACBETH Method Implementation in the Prioritization of the Connected Autonomous Vehicles,” Expert Systems With Applications, 211 (2023) 118445. https://doi.org/10.1016/j.eswa.2022.118445  .

531. Rong Jiang, Xue Chen, Yimin Yu, Ying Zhang, Weiping Ding,  “An Access Control Model for Medical Big Data Based on Clustering and Risk,” Information Sciences, 621 (2023) 691–707 doi: https://doi.org/10.1016/j.ins.2022.11.102  .

532. Şükran Şeker, Fatma Betül Bağlan, Nezir Aydin, Muhammet Deveci, Weiping Ding,  “ Risk Assessment Approach for Analyzing Risk Factors to Overcome Pandemic Using Interval-Valued Q-rung Orthopair Fuzzy Decision Making Method,”  Applied Soft Computing,132 (2023) 109891, doi: https://doi.org/10.1016/j.asoc.2022.109891  .

533. Sarah Qahtan, Hasan A. Alsattar, A.A. Zaidan, Muhammet Deveci, Dragan Pamucar, Weiping Ding,  “A Novel Fuel Supply System Modelling Approaches for Electric Vehicles Under Pythagorean Probabilistic Hesitant Fuzzy Sets,”  Information Sciences 622 (2023) 1014–1032. doi:https://doi.org/10.1016/j.ins.2022.11.166  .

534. Yufei Chen, Chang Xu, Weiping Ding, Shichen Sun, Xiaodong Yue，Hamido Fujita, “Target-Aware U-Net with Fuzzy Skip Connections for Refined Pancreas Segmentation” Applied Soft Computing  131 (2022) 109818  https://doi.org/10.1016/j.asoc.2022.109818.

535. Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, “TSFNFS: Two-Stage-Fuzzy-Neighborhood Feature Selection with Binary Whale Optimization Algorithm,” International Journal of Machine Learning and Cybernetics  , DOI:10.1007/s13042-022-01653-0

536. Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, “TSFNFR: Two-Stage Fuzzy Neighborhood-based Feature Reduction with Binary Whale Optimization Algorithm for Imbalanced Data Classification,” Knowledge-Based Systems, 256 (2022) 109849.  DOI: https://doi.org /10.1016/j.knosys.2022.109849

537. Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu,Anhui Tan,“Two-Stage-Neighborhood-Based Multilabel Classification for Incomplete Data with Missing Labels,” International Journal of Intelligent Systems，  https://doi.org/10.1002/int.22861  .

538. Renyan Feng, Erman Acar, Yisong Wang, Wanwei Liu, Stefan Schlobach, Weiping Ding, “Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach,” Information Sciences, https://doi.org/10.1016/j.ins.2022.10.124  

539. Lei Dai, Liming Zhang, Zehua Chen, Weiping Ding, “Collaborative Granular Sieving: A Deterministic Multi-evolutionary Algorithm for Multimodal Optimization Problems” Information Sciences, 613 (2022) 288–308. https://doi.org/10.1016/j.ins.2022.09.007  

540. Beijing Chen, Tianmu Li, and Weiping Ding, “Detecting Deepfake Videos Based on Spatiotemporal Attention and Convolutional LSTM,” Information Sciences,  601 (2022) 58–70. DOI:10.1016/j.ins.2022.04.014.   

541. Xiaoyan Zhang, Xiuwei Chen, Weihua Xu, and Weiping Ding, “Dynamic Information Fusion in Multi-Source Incomplete Interval-Valued Information System with Variation of Information Sources and Attributes,” Information Sciences 608 (2022) 1–27  https://doi.org/10.1016/j. ins.2022.06.054 

542. Weiping Ding, Javier Andreu Perez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek, “Special issue on fuzzy systems for biomedical science in healthcare,” Applied Soft Computing (2022), doi: https://doi.org/10.1016/j.asoc.2022.109834.

543. Ganeshsree Selvachandran, Shio Gai Quek, Raveendran Paramesran, Weiping Ding,  Le Hoang Son, “Developments in the Detection of Diabetic Retinopathy: A State of the Art Review of Computer-Aided Diagnosis and Machine Learning Methods,” Artificial Intelligence Review，https://doi.org/10.1007/s10462-022-10185-6. 

544. Jinxin Cao, Weizhong Xu, Di Jin, Dongxiao He, Xiaofeng Zhang, and Weiping Ding, “A Network Embedding-Enhanced NMF Methods for Finding Communities in Attributed Networks” IEEE ACCESS, DOI: 10.1109/ACCESS.2022.3198979.

545. Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou,” RG-GCN: Improved graph convolution neural network algorithm based on Rough Graph,”IEEE ACCESS, 2022.10, 85582-85594. doi:10.1109/ACCESS.2022. 3198730.

546. Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz, ”An error correction prediction model based on three-way decision and ensemble learning,”  International Journal of approximate reasoning ，146 (2022) 21–46. doi:10.1016/j.ijar.2022.04.002. 

547. Qinting Jiang, Xuanhong Zhou, Ruili Wang, Weiping Ding, Yi Chu, Sizhe Tang, Xiaoyun Jia, Xiaolong Xu, “Intelligent Monitoring for Infectious Diseases with Fuzzy Systems and Edge Computing:  A Survey” Applied Soft Computing, 123 (2022) 108835. https://doi.org/10.1016 /j.asoc.2022.108835. 

548. Wenjie Wang, Jianming Zhan, Weiping Ding, Shuping Wan，“A three-way decision method with tolerance dominance relations in decision information systems,”   Artificial Intelligence Review, Accepted and to be appeared

549. Changzhong Wang, Xiang Lv, Weiping Ding, Xiaodong Fan, “No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism,” Soft Computing, https://doi.org/10.1007/s00500-022-07535-5  .

550. Weizhong Wang, Xiao Han,  Weiping Ding, Qun Wu, Xiaoqing Chen, Muhammet Deveci, “A Fermatean Fuzzy Fine-Kinney for Occupational Risk Evaluation Using Extensible MARCOS with Prospect Theory,”  Engineering Applications of Artificial Intelligence,117 (2023) 105518 https://doi.org/10.1016/j.engappai.2022.105518

551. Anubha Parashar, Rajveer Singh Shekhawat, Weiping Ding, Imad Rida, “Intra-class variations with Deep Learning-based Gait Analysis: A comprehensive survey of covariates and methods, ” Neurocomputing, 505 (2022) 315–338. https://doi.org/10.1016/j.neucom  . 2022.07.002

552. Zhe Wang, Fuyuan Xiao, and Weiping Ding, “Interval-Valued Intuitionistic Fuzzy Jenson-Shannon Divergence and its application in Multi-Attribute Decision Making,” Applied Intelligence,  https://doi.org/10.1007/s10489-022-03347-0

553. Jiandong Kuang, Ming-Wen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding, “Network Pruning via Probing the Importance of Filters,” International Journal of Machine Learning and Cybernetics， https://doi.org/10.1007/s13042-022-01530-w   

554. Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garc and Weiping Ding, “An Empirical Study on the Joint Impact of Feature Selection and Data Resampling on Imbalance Classification,” Applied Intelligence , 2022.  DOI: 10.1007/s10489-022-03772-1.

555. Supriyo Ahmed, Ripon K. Chakrabortty, Daryl L. Essam, Weiping Ding“Poly-linear Regression with Augmented Long Short Term Memory Neural Network: Predicting Time Series Data” Information Sciences, 606 (2022) 573–600. https://doi.org/10.1016/j.ins.2022.05.078  

556. Felin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, Ketan Kotecha, Weiping Ding,  “Generalized Susceptible-Exposed-Infectious-Recovered Model and its Contributing Factors for Analyzing the Death and Recovery Rates of the COVID-19 Pandemic,” Applied Soft Computing,123(2022) 108973. https://doi.org/10.1016/j.asoc.2022.108973

557. Dixizi Liu, Weiping Ding,  Zhijie Sasha Dong, and Witold Pedrycz “Optimizing Deep Neutral Networks to Predict the Effect of Social Distancing on COVID-19 Spread,” Computers & Industrial Engineering,  166 (2022) 107970, dio:10.1016/j.cie.2022.107970.

558. Lin Sun, Tianxiang Wang, Weiping Ding,  Jiucheng Xu,Anhui Tan,“Two-Stage-Neighborhood-Based Multilabel Classification for Incomplete Data with Missing Labels,” International Journal of Intelligent Systems, DOI:10.1002/int.22861  .

559. Weiping Ding, and Jiandong Wang, “A novel approach to minimum attribute reduction based on quantum-inspired self-adaptive cooperative co-evolution,” Knowledge-Based Systems, 2013, 50: 1-13.  dio:10.1016/ j.knosys.2013.03.008.

560. Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen T. Wong, Guang Yang, “Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information,” Applied Intelligence, https://doi.org/10.1007/s10489-021-03092-w 

561. Lin Sun, Jiuxiao Zhang,  Weiping Ding, Jiucheng Xu, “Mixed Measure-Based Feature Selection Using the Fisher Score and Neighborhood Rough Sets,” Applied Intelligence, DOI:10.1007/s10489-021-03142-3.

562. Lin Sun, Jiuxiao Zhang,  Weiping Ding, Jiucheng Xu, “Feature Reduction for Imbalanced Data Classification Using Similarity-based Feature Clustering and Adaptive Weighted K-Nearest Neighbors,”  Information Sciences, 593 (2022) 591–613. DOI: 10.1016/j.ins.2022.02.004.   

563. Fuyuan Xiao, and Weiping Ding, “Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis,” Applied Soft Computing, 2019, 79, 254-267. doi:10.1016/j.asoc.2019.03.043. (Highly Cited Paper) 

564. Huijing Ma, Qinghao Ye, Weiping Ding, Yinghui Jiang, Minhao Wang, Zhangming Niu, Xi Zhou, Yuan Gao, Chengjia Wang, Wade Menpes-Smith, Evandro F. Fang, Jianbo Shao, Jun Xia, Guang Yang*, “Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children with COVID-19 Infections” Frontiers in Oncology, DOI:10.3389/fmed.2021.699984.

565. Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding,  Shizhan Chen, Zhiyong Feng,  Bo Wang, Yuxiao Huang, "A Network Embedding-Enhanced Bayesian Model for Generalized Community Detection in Complex Networks," Information Sciences, 575 (2021) 306-322. doi:10.1016/j. ins.2021.06.020.

566. Christian Flores Vega, Jonathan Quevedo, Elmer Escand´on, Mehrin Kiani, Weiping Ding, Javier Andreu-Perez, “Fuzzy Temporal Convolutional Neural Networks in P300-based Brain-Computer Interface for Smart Home Interaction”, Applied Soft Computing, 117 (2022) 108359. DOI:10.1016/j.asoc.2021.10835 

567. Jin Ye, Jianming Zhan, Weiping Ding,  Hamido Fujita, “A novel three-way decision approach in decision information systems,”  Information Sciences, 584 (2022) 1–30. DOI: 10.1016/j.ins. 2021.10.042    (Highly Cited Paper)

568. Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton,Louise S. Mackenzie, Abhirup Banerjee, “DenResCov-19: A transfer deep-learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays,”  Computerized Medical Imaging and Graphics，94 (2021) 102008，DOI:10.1016/j.compmedimag.2021.102008

569. Ying Li, Binbin Fan, Weiping Ding,  Weiping Zhang, Jianwei Yin, “A Novel Severity Calibration Algorithm for Defect Detection by Constructing Maps,” Information Sciences. https://doi.org/10.1016/j.ins.2022.06.076.  

570. Ying Li, Binbin Fan,Weiping Zhang, Weiping Ding, Jianwei Yin, “Deep Active Learning for Object Detection,” Information Sciences, 579 (2021) 418–433.  doi: 10.1016/j.ins.2021.08.0  19

571. Lin Sun, Xiaoying Qin, Weiping Ding, and Jiucheng Xu, “Nearest Neighbors-based Adaptive Density Peaks Clustering with Optimized Allocation Strategy,” Neurocomputing，doi:10.1016/j.neucom.2021.12.019   

572. Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin, “Feature Selection Using Fisher-Score and Multilabel Neighborhood Rough Sets for Multilabel Classification,” Information Sciences, 578 (2021) 887–912. doi: 10.1016/j.ins.2021.08.0  32

573. Kehua Yuan, Weihua Xu, Wentao Li, Weiping Ding, “An incremental learning mechanism for object classification based on progressive fuzzy three-way concept,”  Information Sciences, 584 (2022) 127–147. DOI:10.1016/j.ins. 2021.10.058  

574. Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang and Dandan Zhu, “IVKMP：A robust data-driven heterogeneous defect model based on deep representation optimization learning” Information Sciences, 583 (2022) 332–363. DOI: 10.1016/j.ins. 2021.  11.029. 

575. Weiping Ding,  Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, and Danilo Pelusi, “Fusion of Intelligent Learning for COVID-19: A State-of-the-Art Review and Analysis on Real Medical Data,” Neurocomputing,  457 (2021) 40-66. doi:10.1016/j.neucom.2021.06.024.  

576. Weiping Ding,  Mohamed Abdel-Basset, Hossam Hawash, “RCTE: A Reliable and Consistent Temporal-Ensembling Framework for Semi-supervised Segmentation of COVID-19 Lesion,“  Information Sciences, 578 (2021) 559-573. DOI: 10.1016/j.ins.2021.07.059  .  

577. Xiuyi Jia, Tao Wen, Weiping Ding,  Huaxiong Li, Weiwei Li, “Semi-supervised Label Distribution Learning via Projection Graph Embedding,” Information Sciences，581 (2021) 840–855. doi: 10.1016/j.ins.2021.10.009.  

578. Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang, “Density Peaks Clustering Based on k-nearest neighbors and Self-Recommendation,”  International Journal of Machine Learning and Cybernetics, 2021,12: 1913-1938.

579. Linyao Yang, Xiao Wang, Yuxin Dai, Kejun Xin, Xiaolong Zheng, Weiping Ding, Jun Zhang and Fei-Yue Wang, “HackRL: Reinforcement Learning with Hierarchical Attention for Cross-Graph Knowledge Fusion and Collaborative Reasoning,”  Knowledge-Based Systems, 233 (2021) 107498.

580. Yintong Wang, Yingjie Yang, Weiping Ding, Shuo Li, “A residual-attention offline handwritten Chinese text recognition based on fully convolutional neural networks,”  IEEE Access, DOI: 10.1109/ACCESS.2021.3115606.

581. Tao Yin, Xiaojuan Mao, Xingtan Wua, Hengrong Ju, Weiping Ding and Xibei Yang,”An improved D-S evidence theory based neighborhood rough classification approach,” Journal of Intelligent & Fuzzy Systems, DOI:10.3233/JIFS-210462.

582. Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro  Fei Fang, Wade Menpes-Smith, Jun Xia, and Guang Yang,“Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images,” Applied Soft Computing, 116 (2022) 108291  doi: 10.1016/j.asoc. 2021.108291.

583. Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, and Chin-Teng Lin, “A review of clustering techniques and developments,” Neurocomputing, 2017, 267: 664-681. doi:10.1016/ j.neucom.2017.06.053. (Highly Cited Paper) 

584. Shuai Liu, Dongye Liu, Khan Muhammad, and Weiping Ding, “Effective Template Update Mechanism in Visual Tracking with Background Clutter," Neurocomputing,  458(2021) 615-625. doi:10.1016/j.neucom. 2019.12. 143  .  (Highly Cited Paper)

585. Beijing Chen, Xingwang Ju, Bin Xiao, Weiping Ding*, Yuhui Zheng, and Victor Hugo C. de Albuquerque, “Locally GAN-generated face detection based on an improved Xception,”  Information Sciences, 2021. doi:10.1016/j.ins. 2021.05.  006.

586. Weiping Ding, Yi Zhang, Tingzhen Qin, Ying Sun, “An improved SFLA-Kmeans algorithm based on approximate backbone and its application in retinal fundus image,” IEEE Access，2021,9:72259-72268.  DOI: 10.1109/ ACCESS.2021.3079119.

587. Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, and Weiping Ding, “Discovering High Utility-Occupancy Patterns from Uncertain Data,” Information Sciences, 2021, 546: 1208-1229. doi: 10.1016/j.ins.2020.10.001.  

588. Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu, “WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation” Information Sciences,  doi: 10.1016/j.ins.2021.05.008.  

589. Changzhong Wang, Yang Huang, Weiping Ding,  and Zehong Cao, “Attribute reduction with fuzzy rough self-information measures,” Information Sciences,  2021, 549: 68-86. doi: 10.1016/j.ins.2020.11.021  .(Highly Cited Paper)

590. Chirantana Mallick, Asit Kumar Das, Weiping Ding, and Janmenjoy Nayak，"Ensemble Summarization of Bio-medical Articles integrating Clustering and multi-objective Evolutionary Algorithms,"  Applied Soft Computing, 106 (2021) 107347. doi:10.1016/j.asoc.2021.107347.

591. Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujitac, Suping Xu, ”Robust supervised rough granular description model with the principle of justifiable granularity”  Applied Soft Computing, 2021, 110: 107612.  DOI: 10.1016/j.asoc.2021. 107612

592. Erfan Babaee Tirkolaee, Mahdi Alinaghian, Zahra Kaviani Dezaki, Seyyed Reza Hejazi, Weiping Ding, “An Augmented Tabu Search Algorithm for the Green Inventory-Routing Problem with Time Windows,” Swarm and Evolutionary Computation, 60 (2021) 100802. doi: 10.1016/j.swevo.2020.100802.  (Highly Cited Paper)

593. Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen, “Control Strategy in Spreading Dynamics with Limited Capacity,” Future Generation Computer Systems, 114 (2021) 307-317. doi: 10.1016/j.future.2020.08.009.

594. Tanveer Hussain, Khan Muhammad, Weiping Ding, Mohsen Guizani, and Sung Wook Baik, Vector Hugo C. de Albuquerque. “A Comprehensive Survey on Multi-View Video Summarization,” Pattern Recognition, doi: 10.1016/j.patcog.2020.107567.

595. Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding,  “On-Shelf Utility Mining from Transaction Database,” Engineering Applications of Artificial Intelligence, 107 (2022) 104516. DOI:10.1016/j.engappai. 2021.104516.

596. Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi and Weiping Ding, “Incremental Classifier in Crime Prediction using bi-objective Particle Swarm Optimization,” Information Sciences, 2021, 56: 279-303. doi: 10.1016/ j.ins.2021.02.002.

597. Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, and Sung Wook Baik, “Efficient Activity Recognition using Lightweight CNN and Deep GRU Network for Surveillance Applications,” Applied Soft Computing, 103 (2021) 107102, doi:10.1016/j.asoc.2021.107102

598. Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, B. Kameswara Rao, Weiping Ding, and Danilo Pelusi, “Intelligent System for Covid-19 Prognosis: A State-of-the-Art Survey" Applied Intelligence, （2021）51:2908-2938. doi:10.1007/s10489-020-02102-7

599. Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, and Jiucheng Xu, “Multilabel Feature Selection Using ML-ReliefF and Neighborhood Mutual Information for Multilabel Neighborhood Decision Systems,” Information Sciences, 537 (2020) 401–424, doi: 10.1016/j. ins. 2020.05.102.

600. Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, and Hongjun Li, “Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing,” IEEE Access, 2019, 7(1): 47682-47686. doi:10.1109/ACCESS. 2019.2908776.

601. Mohamed Abdel-Basset, Weiping Ding, and Doaa El-Shahat, “An Hybrid Harris Hawks Optimization Algorithm with simulated annealing for Feature Selection,” Artificial Intelligence Review. 2021,54(1): 593-637. doi:10. 1007/s10462-020-09860-3.

602. Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, and Ming Li, “Multiple Lesions Detection of Fundus Images based on Convolution Neural Network Algorithm with Improved SFLA,” IEEE Access, 2020, 8: 97618-97630. doi: 10.1109/ACCESS. 2020.2996569.

603. Mohamed Abdel-Basset, Weiping Ding, and Laila Abdel-Fatah, “The fusion of Internet of Intelligent Things (IoIT) in Remote Diagnosis of Obstructive Sleep Apnea: A Survey & A New Model,” Information Fusion, 61 (2020) 84–100. doi:10.1016 /j.inffus. 2020.03.010.

604. Ghazaala Yasmin, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi and Weiping Ding, “Graph based Feature Selection Investigating Boundary Region of Rough Set for Language Identification,” Expert Systems With Applications, doi:10.1016/ j.eswa.2020.113575.

605. Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, and Zehong Cao, “Random Forest with Self-paced Bootstrap Learning in Lung Cancer Prognosis,” ACM Transactions on Multimedia Computing Communications and Applications, 16, 1s, Article 34 (April 2020), 12 pages. https://doi.org/10.1145/3345314.

606. Wenjian Luo, Nannan Lu, Li Ni, Wenjie Zhu, and Weiping Ding, “Local Community Detection by the Nearest Nodes with Greater Centrality,” Information Sciences, 2020, 517: 377–392. doi: 10.1016/j.ins.2020.01.001.  

607. Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, and Jiucheng Xu, “Neighborhood Multi-granulation Rough Sets-based Attribute Reduction Using Lebesgue and Entropy Measures in Incomplete Neighborhood Decision Systems,” Knowledge-Based Systems, 192 (2020) 105373. doi:10.1016/j.knosys.2019.105373.

608. Lin Sun, Tengyu Yin, Weiping Ding, and Jiucheng Xu, “Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems,” IEEE Access, 2019,7(1):175793-175815. dio:10.1109 /ACCESS.2019.2957662

609. Zhi Dou, Lin Sun, and Weiping Ding, “Multiple parameters determination for image and video deconvolution using genetic algorithm and generalized Stein's unbiased risk estimation,” IEEE Access,  2019, 7 (1): 177745-177760. doi:10.1109/ ACCESS.2019.2958315.

610. V.D.Ambeth Kumar, S.Malathi, R Venkatesan, K Ramalakshmi, K Vengatesan  and Weiping Ding, K. Abhishek, “Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition,” Journal of Intelligent & Fuzzy Systems,  2020, 38(2): 2181-2196. doi: 10.3233/JIFS-190982. 

611. Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi and Weiping Ding, “Group Incremental Adaptive Clustering based on Neural Network and Rough Set Theory for Crime Report Categorization,” Neurocomputing. 459 (2021) 465–480. doi:10.1016/j.neucom. 2019.10. 109.  

612. Qi Li, Zehong Cao, Weiping Ding, and Qing Li, “A Multi-Objective Adaptive Evolutionary Algorithm to Extract Communities in Networks,” Swarm and Evolutionary Computation, 52 (2020) 100629. doi:10.1016/ j.swevo.2019.100629.

613. Santos Kumar Baliarsingh, Weiping Ding, Swati Vipsita, and Sambit Bakshi, “A Memetic Algorithm using Emperor Penguin and Social Engineering Optimization for Medical Data Classification,” Applied Soft Computing, 2019, 85, 105773. doi: 10.1016/j.asoc. 2019.105773.

614. Weiping Ding, “SVM-Based Feature Selection for Differential Space Fusion and Its Application to Diabetic Fundus Image Classification,” IEEE Access, 2019,7: 149493-149502. doi: 10.1109/ACCESS.2019.2944899.

615. Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, and Chin-Teng Ling, “Subject Adaptation Network for EEG Data Analysis,” Applied Soft Computing, 84 (2019) 105689. doi:10.1016/j.asoc. 2019.105689.

616. Xiaowei Gu, and Weiping Ding, “A Hierarchical Prototype-Based Approach for Classification,” Information Sciences, 2019, 505, 325–351. doi: 10.1016/j.ins.2019.07.077  .

617. Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf, and Weiping Ding, “Diagnosis of COVID-19 from X-rays Using Combined CNN-RNN Architecture with Transfer Learning,”  medRxiv preprint, https://doi.org/10.1101/ 2020.08.24. 20181339.

618. Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, and Weiping Ding, ”CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network,” arXiv:2008.09388v1[cs.CV] 21 Aug 2020.

619. Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, and Weiping Ding, “A Graph based Clustering Approach for Relation Extraction from Crime Data,” IEEE Access, 2019, 7, 101269-101282. doi:10.1109/ACCESS. 2019.2929597.

620. Chin-Teng Lin, Juang-Tai King, Priyanka Bhardwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, and Mukesh Prasad, “EOG-based Eye Movement Classification and Application on HCI Baseball Game,” IEEE Access, 2019, 7(1): 96166-96176. doi:10.1109/ACCESS. 2019.2927755.

621. Linbo Wang, Hui Zhen, Xianyong Fang, Shaohua Wan, Weiping Ding, and Yanwen Guo, “A Unified Two-Parallel-Branches Deep Neural Network for Joint Gland Contour and Segmentation Learning,” Future Generation Computer Systems, 2019, 100, 316-324. doi: 10.1016/j.future. 2019.05.035.

622. Chin-Teng Lin, Jung-Tai King, Chun-Hsiang Chuang, Weiping Ding, Wei-Yu Chuang, Lun-De Liao, and Yu-Kai Wang, “Exploring the Brain Responses to Driving Fatigue through Simultaneous EEG and fNIRS Measurements,” International Journal of Neural Systems, 30(1): 1950018:1-1950018:12 (2020). doi:10.1142/ S01290657195 00187.

623. Zongyuan Zhang, Zhijin Guan, Hong Zhang, Haiying Ma, and Weiping Ding, “A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing,” Quantum Information & Computation, 18(13&14): 1095-1114 (2018).

624. Swagatika Devi, Manmath Narayan Sahoo,  Khan Muhammad, Weiping Ding, and Sambit Bakshi, “Hiding Medical Information in Brain MR Images without Affecting Accuracy of Classifying Pathological Brain,” Future Generation Computer Systems, 2019, 99: 235-246. doi:10.1016/j.future.2019.01.047.

625. Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, and Xibei Yang, “Sequential three-way classifier with justifiable granularity,” Knowledge-Based Systems, 2019, 163: 103–119. doi:10.1016/j.knosys.2018.08.022.

626. Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding,  Chin-Teng Lin, Andreu Perez Javier, and Mukesh Prasad, “A Hierarchical Meta-model for Multi-Class Mental Task Based Brain-Computer Interfaces,” Neurcomputing, 389 (2020) 207–217. doi:10.1016/j.neucom.2018.07.094.  

627. Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, and Chin-Teng Lin, “Effects of repetitive SSVEPs on EEG complexity using inherent fuzzy entropy,” Neurcomputing, 389 (2020) 198–206. doi: 10.1016/ j.neucom.2018.08.091. (Highly Cited Paper) 

628. Shiming chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, and Zehong Cao, “Semi-supervised feature learning for improving writer identification,” Information Sciences, 482 (2019) 156-170.  doi:10.1016/j.ins.2019.01.024.  

629. Xueyun Cheng, Zhijin Guan, and Weiping Ding, “Mapping from multiple control Toffoli circuits to linear nearest neighbor quantum circuits,” Quantum Information Processing, 2018 2018, 17(7):169, July. doi: 10.1007/s11128-018-1908-8.

630. Zongyuan Zhang, Zhijin Guan, Hong Zhang, Haiying Ma, and Weiping Ding, “A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing,” Quantum Information & Computation, 18(13&14): 1095-1114 (2018).

631. Ziyun Deng, Tingqin He, Weiping Ding, and Zehong Cao, “A Multi-Model Fusion Engine for Filtering Web Pages,” IEEE Access, 2018, 6: 66062–66071. doi: 10.1109/ACCESS. 2018.2878897.

632. Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng, Weiping Ding, and Zehong Cao, “A Modified Distance Dynamics Model for Improvement of Community Detection,” IEEE Access, 2018, 6: 63934-63947. doi:10.1109/ ACCESS.2018.2877235.

633. Guoqing Chao, Yuan Luo, and Weiping Ding, “Recent advances in supervised dimension reduction:  A survey,” Machine Learning and Knowledge Extraction, 2019, 1(1), 341–358. doi:10.3390/make1010020 (Invited Survey)

634. Weiping Ding, Zhijin Guan, Jiehua Wang, and Di Tian, “A layered co-evolution based rough feature selection using adaptive neighborhood radius hierarchy and its application in 3D-MRI,” Chinese Journal of Electronics, 2017, 26(6): 1168-1176. doi:10.1049/cje.2017.01.004.

635. Weiping Ding, Jiandong Wang, Yuehua Li, and Xueyun Cheng, “A cascaded co-evolutionary model for attribute reduction and classification based on coordinating architecture with bidirectional elitist optimization,” Chinese Journal of Electronics, 2017, 26(1): 13-21. doi:10.1049/cje.2016. 06.037.

636. Weiping Ding, Zhijin Guan, and Quan Shi, “An enhanced attribute co-evolutionary game reduction algorithm by integrating self-adaptive multi-level Nash equilibrium,” Chinese Journal of Electronics, 2016, 25(1): 13-19. doi:10.1049/ cje.2016.01.003.

637. Weiping Ding, and Jiandong Wang, “Ensemble feature selection integrating elitist roles based quantum game algorithm,” Journal of Systems Engineering and Electronics, 2015, 26(3), 584-594. doi:10.1109/JSEE.2015.0006.

638. Weiping Ding, Jiandong Wang, and Zhijin Guan, “A novel minimum attribute reduction algorithm based on hierarchical elitist role model combining competitive and cooperative co-evolution,” Chinese Journal of Electronics, 2013, 22(4): 677-682.

639. Weiping Ding, Jiandong Wang, Zhijin Guan, and Quan Shi, “Enhanced minimum attribute reduction based on quantum-inspired shuffled frog leaping algorithm,” Journal of Systems Engineering and Electronics, 2013, 24(3): 426-434. doi:10.1109/ JSEE.2013.00051.

640. Weiping Ding, Jiandong Wang, and Zhijing Guan, “Cooperative extended rough attribute reduction algorithm based on improved PSO,” Journal of Systems Engineering and Electronics,  2012, 23(1): 160-166.  doi:10.1109/ JSEE.2012.00020.

641. Weiping Ding, Jiandong Wang, and Yanwen Guo, “Minimum attribute co-reduction algorithm based on multilevel evolutionary tree with self-adaptive subpopulations,” Transactions of Nanjing University of Aeronautics & Astronautics, 2013, 30(2): 175-184.

642. Weiping Ding, and Jiandong Wang, “Quantum-cloud-feedback-based attribute equilibrium dominance ensemble reduction with co-evolutionary elitists,” Journal of Quantum Electronics, 2016, 33 (2): 220-230. doi:10.3969/ j.issn.1007-5461.2016. 02.15  

643. Xueyun Chen, Zhijin Guan, Weiping Ding, and Pengcheng Zhu, “Linear nearest neighbor quantum circuit synthesis based on valid Boolean matrix,” Journal of Quantum Electronics, 2016, 33(6) 743-750.

644. Weiping Ding, Jiandong Wang, Quan Shi, and Zhijin Guan, “Adaptive multicascade attribute reduction based on quantum-inspired mixed co-evolution,” Journal of Southeast University (English Edition), 2012, 28(2): 145-150.

645. Weiping Ding, Wang Jiandong, Zhang Xiaofeng, and Guan Zhijin, “Co-evolutionary cloud-based attribute ensemble multi-agent reduction algorithm,” Journal of Southeast University (English Edition), 2016, 32(4):432-438. doi:10.3969/ j.issn.1003-7985.2016.04.007.

646. Weiping Ding, Jiandong Wang, Quan Shi, Senbo Chen, and Xuehua Sen, “Attribute equilibrium reduction with quantum game based on mixed co-evolutionary populations’ collaboration,” ACTA ELECTRONICA SINICA, 2015, 43(1): 45-53. doi:10.3969/j.issn.0372-2112.2005.01008.

647. Weiping Ding, Jiandong Wang, and Zhijin Guan, “Minimum attribute self-adaptive cooperative co-evolutionary reduction algorithm based on quantum elitist frogs,” Journal of Computer Research and Development, 2014, 51(4): 743-753. doi:10.7544/issn1000-1239. 2014.20120572.

648. Weiping Ding, Jiandong Wang, Zhijin Guan, and Quan Shi, “Minimum attribute reduction enhancing algorithm based on quantum cloud model evolution,” Journal of Southeast University (Natural Science), 2013, 43(2): 291-295.

649. Weiping Ding, Jiandong Wang, and Zhijin Guan, “Efficient rough attribute reduction based on quantum frog co-evolution,” ACTA ELECTRONICA SINICA, 2011, 39(11): 2597-2603.

650. Weiping Ding, Jiandong Wang, Senbo Chen, Xueyun Cheng, and Xuehua Sen, “Rough attribute reduction with cross-entropy based on improved shuffled frog-leaping algorithm,” Journal of Nanjing University (Natural Science), 2015, 50(2): 159-166. 

651. Weiping Ding, Jiandong Wang, Quan Shi, Hao Zhu, and Senbo Chen, “Attribute order reduct algorithm based on niche technology and perfect attribute-value space tree,” Journal of Nanjing University of Science and Technology (Natural Science), 2012, 36 (1): 37-42. 

652. Weiping Ding, Jiandong Wang, Zhijin Guan, and Quan Shi, “A cascade algorithm of quantum evolutionary attribute reduction and classification learning based adaptive crossover cooperation,” Pattern Recognition and Artificial Intelligence, 2011, 24(6): 733-742. 

653. Weiping Ding, and Jiandong Wang, “Incomplete attribute reduction robust algorithm of decision table based niche conic neighborhood particle swarm optimization,” Journal of Sichuan University (Engineering Science Edition), 2011, 43(6): 119- 126.

654. Weiping Ding, Jiandong Wang, and Zhijin Guan. ”Concept lattice mining algorithm using rough entropy with variable precision thresholding and co-evolution,” Journal of PLA University of Science and Technology, 2011, 12(1): 25-30.  

655. Weiping Ding, Jiandong Wang, Weihua Duan, and Quan Shi, "Research of cooperative PSO for attribute reduction optimization," Journal of Shangdong University (Natural Science), 2011, 46 (5): 97-102. 

656. Weiping Ding, Jiandong Wang, and Weihua Duan, “Research and application of extension rough formal concept mining algorithm based on dynamic co-evolution,” Journal of Information and Computational Science, 2010,7(12): 2377-2384. 

657. Weiping Ding, Jiandong Wang, Hao Zhu, Zhijin Guan, and Quan Shi, “A novel hybrid approach for incomplete knowledge system mining based on approximation rough entropy lattice,” Journal of Computational Information System, 2010, 6(5): 1651-1659.

658. Weiping Ding, Jiandong Wang, Zhijin Guan, and Hao Zhu, "The algorithm of attribute reduction based on extension entropy of variable precision thresholding in incomplete information system," Journal of Chinese Computer Systems, 2010, 31(12): 2372-2376.

659. Weiping Ding, Jiandong Wang, Hao Zhu, Zhijin Guan, and Quan Shi, "Research and application of dynamical classification model for ensemble learning based on approximation concept lattice of roughness," Computer Science, 2010, 37(7): 174-178, 232.

660. Weiping Ding, Zhijin Guan, and Zhenguo Shi, “Research of approximation concept lattice and rules mining based on extended rough sets model,” Journal of Nanjing University of Posts and Telecommunications (Natural Science), 2009, 29(2): 10-15.

Selected Conferences Papers

1. Zhihao Feng, Weiping Ding, Jinxin Cao, Chudi Sun, Xinjie Shen, Haipeng Wang, “Adaptive FCM Clustering Algorithm Based On Twin Multiple Population Evolution,”  2021 IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI 2021) Beijing, China, July 15-August 15, pp.434-437, 2021. DOI: 10.1109/DTPI52967.2021.9540159

2. Peng Ping,  Weiping Ding, Yongkang Liu, and Kazuya Takeda，“An enhanced driver's risk perception modeling based on gate recurrent unit network,” 2022 33rd IEEE Intelligent Vehicles Symposium(IV)(IV 2022), June 5-9,2022, in Aachen, Genmany. 

3. Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding, “Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction,” 2021 IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI 2021) Beijing, China, July 15-August 15, pp.434-437, 2021. DOI: 10.1109/DTPI52967.2021.9540107

4. Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding, “UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data” 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)，October 11, 2020, pp.3066-3071.

5. Mahardhika Pratama, Choiru Zain, Andri Ashfahani, Yew-Soon Ong and Weiping Ding, “Automatic Construction of Multi-layer Perceptron Network from Streaming Examples,” The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), November 2019 Pages 1171–1180. https://doi.org/10.1145/3357384.3357946.

6. Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, and Guoting Chen,"OSUMI: On-Shelf Utility Mining from Itemset-based Data" Special Sessions Paper Information Granulation in Data Science and Scalable Computing，IEEE BIG DATA 2020, December 10-13, 2020, Atlanta, GA, USA.

7. Nannan Lu, Wenjian Luo, Li Ni, Hao Jiang, and Weiping Ding, “Extending CDFR for overlapping community detection,” The First International Conference on Data Intelligence and Security (ICDIS-2018), April 8-10, 2018, South Padre Island, USA. (Best Student Paper Award)

8. Weiping Ding, Senbo Chen, and Xueyun Chen, “A parallel minimum attribute co-reduction accelerator based on quantum-inspired SFLA and MapReduce Framework,” 2015 International Conference on Data Mining and Applications (ICDMA’15),  March 17-20, pp. 280-285, Kowloon, HongKong.  (Best Paper Award)

9. Weiping Ding, Senbo Chen, Xuehua Shen, Qi Gu, and Huiping Liu, “An adaptive minimum attribute reduction algorithm integrating quantum elitists and reverse cloud models,” In: Proceeding of 2013 6rd International Congress on Image and Signal Processing (CISP 2013), Dec 16-18, pp. 555-560, Hangzhou, China. 

10. Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan, and Jiandong Wang, “A novel quantum cooperative co-evolutionary algorithm for large-scale minimum attribute reduction optimization,” In: Proceedings of IEEE Symposium Series on Computation al Intelligence (SSCI), 2013, April 16-19, pp.280-286. Singapore.

11. Zhijin Guan, Wenjuan Li, Weiping Ding, Yueqin Hang, and Lihui Ni, “An arithmetic logic unit design based on reversible logic gates,” 2011 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing (PacRim 2011) , pp 925-931, Aug 23-26, 2011, University of Victoria,Victoria, BC, Canada.

12. Weiping Ding, Jiandong Wang, Zhijin Guan, Hao Zhu, and Quan Shi, “Rough knowledge mining algorithm for electronic patient record system based on decision rule lattice,” In: International Conference on Artificial Intelligence and Computational Intelligence, Oct. 23-24, 2010, pp.161-165, Sanya, China

13. Weiping Ding, Zhijin Guan, Quan Shi, and Zhenguo Shi, “Research of electronic patient record mining based on rough concept lattice,” In. The 2009 International IEEE Workshop Conference on Intelligent Systems and Applications, IEEE Computer Science, May 22-24, 2009, pp. 1-4, Wuhan, China. 

14. Weiping Ding, Quan Shi, Zhijin Guan, and Zhenguo Shi, “Research of rough approximation in concept lattice and rules mining,”  In: The Second Annual Conference of Jiangsu Young Scientists, 2008, Sep. 28-29, pp.148-158, Nanjing, China. 

15. Weiping Ding, Xiaolong Xu, and Hen Qi, “Association rules and its application in electronic patient record,” In: The first Annual Conference of Jiangsu Young Scientists, pp.188-193, June 24-25, 2006, Nanjing, China. 

16. Weiping Ding, Weijiang Gu, and Jiancheng Dong, “Application of fuzzy logic reasoning in intelligent assistant diagnosis system of electronic patient record,” In 2007 Advances in Chinese Biomedical Engineering, pp.1274-1278, 2017, Xi’an, China.

Book Chapters

• C++ Programming Basic Tutorial, 2023. 1

• Data Structures,  Science Press, 2021. 12

• Data Structures, Tsing Hua Press, 2014.12 

• Introduction to Computers & Practice, Tsing Hua Press, 2015.9

• C++ Program, Jinban Electron Press, 2008.9

• Deep Learning Techniques for IoT Security and Privacy，Springer Nature, 2021.10

• Intelligent Systems Design and Applications, Springer Nature, 2022.1