Publications
Journal paper
Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li, A Survey on Incomplete Multiview Clustering, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2023. [pdf]【code link 1】 【code link 2】【suplementary】
Deng S, Wen J*, Liu C, et al. Projective Incomplete Multi-View Clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. 【pdf】【Code】
Jie Wen, Chengliang Liu, et al. Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views, IEEE Transactions on Neural Networks and Learning Systems, 2023. [pdf] [code]
Chengliang Liu, Jie Wen*, et al. Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. IEEE Transactions on Neural Networks and Learning Systems, 2023.[pdf] [Code]
Wong W K, Liu C, Deng S, et al. Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering[J]. Information Fusion, 2023, 100: 101917. 【code】
Wen J, Xu G, Tang Z, et al. Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-view Clustering[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023. 【code】
Jie Wen, Zheng Zhang, Zhao Zhang, Lunke Fei, Meng Wang, Generalized Incomplete Multi-view Clustering With Flexible Locality Structure Diffusion[J], IEEE Transactions on Cybernetics, 2021, 51(1): 101-114.doi: 10.1109/TCYB.2020.2987164 【pdf】【code】
Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu, Discriminative Regression with Adaptive Graph Diffusion, IEEE Transactions on Neural Networks and Learning Systems, 2022. 【pdf】【suplementary】【code】
Jinrong Cui, Yulu Fu, Cheng Huang, Jie Wen (Corresponding author). Low-Rank Graph Completion-Based Incomplete Multiview Clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.
C Huang, Z Wu, J Wen, Y Xu, Q Jiang, Y Wang, Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System, IEEE Transactions on Industrial Informatics, 2021.
Jie Wen, Yong Xu, Hong Liu, Incomplete Multiview Spectral Clustering with Adaptive Graph Learning, IEEE Transactions on Cybernetics, 2020, 50(4): 1418-1429. 【pdf】【Supplementary】【code】
Jie Wen, Na Han, Xiaozhao Fang, Lunke Fei, Ke Yan, Shanhua Zhan, Low-Rank Preserving Projection Via Graph Regularized Reconstruction [J], IEEE Transactions on Cybernetics. 2019. 49(4):1279-1291. doi: 10.1109/TCYB.2018.2799862 【pdf】【Supplementary】【code】
Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang, Adaptive Graph Completion Based Incomplete Multi-view Clustering [J], IEEE Transactions on Multimedia, 2021, 23: 2493-2504. doi: 10.1109/TMM.2020.3013408 . 【pdf】【Supplementary】【code】
C Liu, Z Wu, J Wen (Corresponding author), Y Xu (Corresponding author), Chao Huang, Localized Sparse Incomplete Multi-view Clustering, [J], IEEE Transactions on Multimedia, 2022. 【pdf】【code】
Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu, Robust sparse linear discriminant analysis [J], IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(2): 390-403. doi:10.1109/TCSVT.2018.2799214 【pdf】【code】
Jie Wen, Zuofeng Zhong, Zheng Zhang, Lunke Fei, Zhihui Lai, Runze Chen, Adaptive Locality Preserving Regression[J], IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(1): 75 - 88. doi: 10.1109/TCSVT.2018.2889727 .【pdf】【Supplementary】【code】
Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han, Adaptive weighted nonnegative low-rank representation [J], Pattern Recognition, 2018, 81: 326-340. 【pdf】【code】
L Sun, Jie Wen*, et al., Balance guided incomplete multi-view spectral clustering[J]. Neural Networks, 2023. [pdf] [Code]
Wen J, Sun H, Fei L, et al. Consensus guided incomplete multi-view spectral clustering[J]. Neural Networks, 2021, 133: 207-219.
Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei, Low-Rank Representation with Adaptive Graph Regularization [J], Neural Networks, 2018. 108: 83-96. [pdf] [code]
Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu, Inter-class sparsity based discriminative least square regression [J], Neural Networks, 2018, 102: 36-47. 【pdf】【code】【ESI高被引】
Lu X, Jiang L, Wen J*(Corresponding author), et al. Locality Preserving Projection with Symmetric Graph Embedding for Unsupervised Dimensionality Reduction[J]. Pattern Recognition, 2022: 108844. 【pdf】【code】【suplementary】
Yan K, Wen J (Co-first author), Xu Y, et al. Mldh-fold: Protein fold recognition based on multi-view low-rank modeling[J]. Neurocomputing, 2021, 421: 127-139.
Ma Z, Wen J*(Corresponding author), Zhang C, et al. An effective fusion defogging approach for single sea fog image[J]. Neurocomputing, 2016, 173: 1257-1267.
Yong Xu, Jie Wen, Lunke Fei, Zheng Zhang, Review of video and image defogging algorithms and related studies on image restoration and enhancement [J], IEEE Access, 2016, 4: 165-188. 【pdf】【code】
Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia. Learning Discriminant Direction Binary Palmprint Descriptor. IEEE Transactions on Image Processing, 2019, 28(8): 3808-3820. (JCR Q1,CCF A,IF: 9.340)
Na Han, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, et al., Transferable Linear Discriminant Analysis. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5630-5638. (JCR Q1,IF:8.793)
Ke Yan, Jie Wen, Yong Xu, et al., Protein Fold Recognition Based on Auto-Weighted Multi-view Graph Embedding Learning Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. Doi: 10.1109/TCBB.2020.2991268
Ke Yan, Jie Wen, Jin-Xing Liu, et al. Protein fold recognition by combining support vector machines and pairwise sequence similarity scores. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. Doi: 10.1109/TCBB.2020.2966450
Fei L, Zhang B, Jia W, Wen J, et al. Feature extraction for 3-D palmprint recognition: A survey[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(3): 645-656.
Zhan S, Wu J, Han N, Wen J, et al. Group low-rank representation-based discriminant linear regression[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 30(3): 760-770.
Fei L, Zhang B, Zhang L, Jia W, Wen J, Wu J. Learning compact multifeature codes for palmprint recognition from a single training image per palm[J]. IEEE Transactions on Multimedia, 2020.
Wong W K, Han N, Fang X, Zhan S, Wen J. Clustering Structure-Induced Robust Multi-View Graph Recovery[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 30(10): 3584-3597.
文杰, 颜珂, 张正, 徐勇. 基于低秩张量图学习的不完整多视角聚类. 自动化学报, 2023, 49(7): 1433−1445 doi: 10.16383/j.aas.c200519 【code】
Conference paper
Chengliang Liu, Jie Wen*, et al., Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS 2023. 【code】
Wen J, Xu G, Liu C, et al. Localized and Balanced Efficient Incomplete Multi-view Clustering[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 2927-2935. 【code】
Cui J, Li Y, Fu Y, Wen J*. Multi-view Self-Expressive Subspace Clustering Network[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 417-425. [oral] 【Code】
Zhao S, Fei L, Wen J*, et al. Incomplete Multi-View Clustering with Regularized Hierarchical Graph[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 3060-3068.
Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu, Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Accepted. [pdf] [code link 1] 【code link 2】
Chengliang Liu, Jie Wen*(Corresponding author), Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu, DICNet: Deep Instance-Level Contrastive Network for Double IncompleteMulti-View Multi-Label Classification, AAAI Conference on Artificial Intelligence, 2023. (CCF A) 【Distinguished paper Award】[code]
Luo X, Liu C, Wong W, Wen J*, Jin X, Xu Y. MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(7): 8993-9001. 【PDF】【Code】
Shuping Zhao, Jie Wen (Co-first author), Lunke Fei, Bob Zhang, Tensorized Incomplete Multi-view Clustering with Intrinsic Graph Completion, AAAI Conference on Artificial Intelligence, 2023. (CCF A)
Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu, Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring, AAAI Conference on Artificial Intelligence, 2021. [pdf] & [code] [visualization code](CCF A)
Jie Wen, Zheng Zhang, Xu Yong, Zhang Bob, Fei Lunke, Xie Guo-Sen, CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network, International Joint Conference on Artificial Intelligence, 2020, 3230-3236. [pdf] & [code] (CCF A)
Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu, Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering, AAAI Conference on Artificial Intelligence, 2019, 5393-5400.【pdf】【code】 (CCF A)
Wen J, Zhang Z, Zhang Z, et al. DIMC-net: Deep Incomplete Multi-view Clustering Network[C]//Proceedings of the 28th ACM International Conference on Multimedia (ACM MM). 2020: 3753-3761. (CCF A)
J Wen, Z Wu, Z Zhang, L Fei, B Zhang, Y Xu, Structural Deep Incomplete Multi-view Clustering Network, The 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021. (CCF B)
Y Guo, J Wen, J Su, Y Xu, Triplet Decoupling Network for Masked Face Verification[C]//Proceedings of the 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 2021. [The best paper]
Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong, Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization, European Conference on Computer Vision on the 2nd International Workshops on Compact and Efficient Feature Representation and Learning in Computer Vision (ECCV workshops), 2018, 593-608.【pdf】【code】【Github】
Jie Wen, Lunke Fei, Zhihui Lai, Zheng Zhang, Jian Wu, Xiaozhao Fang, Adaptive Locality Preserving based Discriminative Regression, International Conference on Pattern Recognition (ICPR), 2018. 535-540.【pdf】(CCF C)
J Yin, C Liu, J Jiang, J Wen* (Corresponding author), L Yang, S Zhu, Normal Distribution Function on Descriptor Extraction, International Conference on Image and Graphics 2021.
Yin J, Liu C, Wen J* (Corresponding author), Chen J, Jiang J, Liu H, Zhu L, Learned Descriptor Using Dynamical Exponential Algorithm, The Second International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC2021), 2021.
Runze Chen, Jie Wen, Xiaoyue Chen, Yong Xu, Graph Embedded Incomplete Multi-View Clustering Method with Proximity Relation Estimation, The Journal of Engineering, 2020(13): 647-652, 2020. [pdf] [code] [The best student paper in the 4th Asian Conference on Artificial Intelligence Technology (ACAIT)]
Qin J, Fei L, Zhu J, Wen J, Tian C, Wu S. Scalable Discriminative Discrete Hashing For Large-Scale Cross-Modal Retrieval[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 4330-4334. (CCF B)
Junjie Liu, Lunke Fei, Wei Jia, Shuping Zhao, Jie Wen, Shaohua Teng, Zhang Wei, Discrete Semantic Embedding Hashing for Scalable Cross-Modal Retrieval, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2021).
Fei L, Qin J, Liu P, Wen J, et al. Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition[C]//2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021: 302-308.(CCF C,模式识别权威国际会议)
Lunke Fei, Jie Wen, Zheng Zhang, et al. Local multiple directional pattern of palmprint image. International Conference on Pattern Recognition (ICPR). IEEE, 2016: 3013-3018. (CCF C,模式识别权威国际会议)
Y Zheng, L Fei, W Jia, J Wen, S Teng, Imad Rida, Compact Double Attention Module Embedded CNN for Palmprint Recognition, Computer Graphics International 2021.
Sun L, Wen J, Wang J, et al. Classification of Mammography based on Semi-supervised Learning[C]//2020 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2020: 104-111.