Publication

Journal

("*" indicates the corresponding author)

[1]      Ping Li*, Xingchao Ye, Lingfeng He. Coarse-to-fine hypergraph network for spatiotemporal action detection.  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), in press, 2025. (SCI一区TOP) 近五年代表作 (2025.04.08)

[2]      Ping Li*, Tao Wang, Xinkui Zhao, Xianghua Xu, Mingli Song. Pseudo-labeling with keyword refining for few-supervised video captioning. Pattern Recognition (PR), Vol. 159, 2025: 111176. (SCI一区TOP)  近五年代表作 (2025.03)

[3]      Ping Li*, Junjie Chen, Binbin Lin, Xianghua Xu.  Residual spatial fusion network for rgb-thermal semantic segmentation. Neurocomputing, Vol. 595, 2024: 127913. (SCI二区TOP)  (2024.08.28)

[4]      Ping Li*, Junjie Chen, Chen Tang. Bridging knowledge distillation gap for few-sample unsupervised semantic segmentation.  Information Sciences (INS), Vol. 673, 2024: 120714. (SCI一区TOP)  (2024.07)

[5]      Ping Li*, Yu Zhang, Li Yuan, Jian Zhao, Xianghua Xu, Xiaoqin Zhang. Adversarial attacks on video object segmentation with hard region discovery.  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 34, No.6, 2024:5049-5062. (SCI一区TOP) 近五年代表作 (2024.06.06)

[6]      Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin*, Xianghua Xu. Efficient long-short temporal attention network for unsupervised video object segmentation. Pattern Recognition (PR), Vol.146, 2024:110078. (SCI一区TOP)  近五年代表作 (2024.02)

[7]      Ping Li*, Chenhan Zhang, Xianghua Xu. Fast fourier inception networks for occluded video prediction. IEEE Transactions on Multimedia (TMM), Vol. 26, 2024:3418-3429. (SCI一区TOP)  近五年代表作 (2024.02)

[8]      Ping Li*, Yu Zhang, Li Yuan, Xianghua Xu. Fully transformer-equipped architecture for end-to-end referring video object segmentation. Information Processing and Management (IPM), Vol. 61, Issue 1, 2024: 103566. (SCI一区TOP)  (2024.01)

[9]      Ping Li*, Jiachen Cao, Li Yuan, Qinghao Ye, Xianghua Xu. Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection. Pattern Recognition (PR), Vol.142, 2023:109684. (SCI一区TOP)  近五年代表作 (2023.10)

[10]   Ping Li*, Pan Zhang, Tao Wang, Huaxin Xiao. Time-frequency recurrent transformer with diversity constraint for dense video captioning. Information Processing and Management (IPM), Vol. 60, Issue 2, 2023: 103204. (SCI 一区)  近五年代表作 (2023.03)

[11]   Ping Li*, Jiachen Cao, Xingchao Ye. Prototype contrastive learning for point-supervised temporal action detection. Expert Systems With Applications (ESWA), Vol. 213, Part B, 2023:118965. (SCI 一区TOP)  (2023.03)

[12]   Ping Li*, Guopan Zhao, Jiajun Chen, Xianghua Xu. Deep metric learning via group channel-wise ensemble. Knowledge-Based Systems (KBS), Vol. 259, 2023:110029. (SCI 一区TOP)  (2023.01)

[13]   Ping Li*, Guopan Zhao, Xianghua Xu. Coarse-to-fine few-shot classification with deep metric learning. Information Sciences (INS), Vol.610, 2022:592-604. (SCI 一区 TOP)  近五年代表作  (2022.09)

[14]   Ping Li*, Pan Zhang, Xianghua Xu. Graph convolutional network meta-learning with multi-granularity POS guidance for video captioning. Neurocomputing. Vol. 472, 2022: 294-305. (SCI 二区 TOP)  (2022.02)

[15]   Luming Zhang, Yongheng Shang*, Ping Li, Hao Luo, Ling Shao. Community-aware photo quality evaluation by deeply encoding human perception. IEEE Transactions on Cybernetics, 52(5), 2022:3136-3146. (SCI 一区)  IF2022-11.8

[16]   Ping Li*, Chao Tang, Xianghua Xu. Video summarization with graph convolutional attention network. Frontiers of Information Technology & Electronic Engineering, 22(6), 2021: 902-913. (SCI 三区, 国内卓越行动计划期刊)  (2021.06)

[17]   Ping Li*, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao. Exploring global diverse attention via pairwise temporal relation for video summarization. Pattern Recognition (PR), Vol.111, 2021:107677. (SCI一区TOP)  近五年代表作 (2021.03)

[18]   Yu Liu, Huaxin Xiao*, Hanlin Tan, Ping Li. Are RGB-based salient object detection methods unsuitable for light field data? EURASIP Journal on Image and Video Processing, 2020:49. (SCI)

[19]   Li Yuan*, Francis Tay, Ping Li, Jiashi Feng. Unsupervised video summarization with cycle-consistent adversarial LSTM networks. IEEE Transactions on Multimedia, 22(10), 2020:2711-2722. (SCI一区)

[20]   Ping Li, Xianghua Xu. Recurrent compressed convolutional networks for short video event detection. IEEE Access, Vol.8, 2020: 114162-114171. (SCI三区)

[21]   Luming Zhang, Jianwei Yin, Ping Li, Yongheng Shang*, Roger Zimmermann, Ling Shao. Flickr image community analytics by deep noise-refined matrix factorization. IEEE Transactions on Multimedia,22(5), 2020: 1273-1284. (SCI一区)

[22]   Xianghua Xu, Qiming Liuli, Lingjun Zhang*, Ping Li, Jinjun Chen. Abnormal visual event detection based on multi-instance learning and autoregressive integrated moving average model in edge based smart city surveillance. Software: Practice and Experience. 50(5), 2020: 476-488. (SCI 四区/ CCF-B) 

[23]   Ping Li*, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan. Online robust low-rank tensor modeling for streaming data analysis. IEEE Transactions on Neural Networks and Learning Systems, 30(4), 2019: 1061-1075. (SCI 一区) 近五年代表作 (2019.04)  IF2019-8.793

[24]   Yiyang Yao, Luo Wang, Luming Zhang*,Yi Yang, Ping Li, Roger Zimmermann, Ling Shao. Learning latent stable patterns for image understanding with weak and noisy labels. IEEE Transactions on Cybernetics, 42(12), 2019: 4243-4252. (SCI 一区) IF2019-11.079

[25]   Xiao Sun, Luming Zhang*, Zepeng Wang, Jie Chang, Yiyang Yao, Ping Li, Roger Zimmermann. Scene categorization using deeply-learned gaze shifting kernel. IEEE Transactions on Cybernetics, 49(6), 2019: 2156-2167. (SCI 一区) IF2019-11.079

[26]   Yinzuo Zhou, Luming Zhang*, Chao Zhang, Ping Li, Xuelong Li. Perceptually aware image retargeting for mobile device. IEEE Transactions on Image Processing, 27(5), 2018:2301-2313. (SCI一区TOP, CCF-A) IF2018-6.79

[27]   Yanxiang Chen, Yuxing Hu, Luming Zhang*, Ping Li, and Chao Zhang. Engineering deep representations for modeling aesthetic perception. IEEE Transactions on Cybernetics, 48(11), 2018: 3092 - 3104. (SCI 一区) IF2018-10.387

[28]   Xiao Sun, Yuxing Hu, Luming Zhang, Yanxiang Chen, Ping Li, Zhao Xie, Zhenguang Liu. Camera-assisted video saliency prediction and its applications. IEEE Transactions on Cybernetics, 48(9), 2018:2520-2530. (SCI 一区) IF2018-10.387

[29]   Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li. Constrained low-rank learning using least squares based regularization. IEEE Transactions on Cybernetics. 47(12): 4250 - 4262, 2017. (SCI 一区)  近五年代表作 (2017.12)

[30]   Ping Li, Jiajun Bu, Jun Yu, Chun Chen. Towards robust subspace recovery via sparsity-constrained latent low-rank representation. Journal of Visual Communication and Image Representation. Vol.37, 46-52, 2016. (SCI 三区)

[31]   Ping Li, Jiajun Bu, Lijun Zhang, Chun Chen. Graph-based local concept coordinate factorization. Knowledge and Information Systems. Vol.43, 103-126, 2015. (SCI 三区/ CCF-B)

[32]   Ping Li, Jiajun Bu, Bin Xu, Zhanying He, Chun Chen, Deng Cai. Sparse fixed-rank representation for robust visual analysis. Signal Processing. Vol.110, 222-231, 2015. (SCI二区)

[33]   Zhanying He, Chun Chen, Jiajun Bu, Ping Li, Deng Cai. Multi-view based multi-label propagation for image annotation. Neurocomputing. Vol. 168, 853-860, 2015. (SCI二区TOP)

[34]   Ping Li, Jiajun Bu, Yi Yang, Rongrong Ji, Chun Chen, Deng Cai. Discriminative orthogonal nonnegative matrix factorization with flexibility for data representation. Expert Systems with Applications. 41(4)- Part 1, 1283-1293. 2014. (SCI一区TOP)

[35]   Yaqing Wang, Ping Li*, Cheng Yao. Hypergraph canonical correlation analysis for multi-label classification. Signal Processing, Vol. 105, 258-267, 2014. (SCI 二区)

[36]   Ping Li, Jiajun Bu, Chun Chen, Deng Cai. Manifold optimal experimental design via dependence maximization for active learning. Neurocomputing. Vol. 142, 429-437, 2014. (SCI二区TOP)

[37]   Ping Li, Hong Li, Min Wu. Multi-label ensemble based on variable pairwise constraint projection. Information Sciences (INS). Vol.222, 269-281, 2013. (SCI 一区)

[38]   Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai. Relational multi-manifold co-clustering. IEEE Transactions on Cybernetics.Vol.43, No.6, 1871-1881. 2013. (SCI 一区)

[39]   Ping Li, Jiajun Bu, Bin Xu, Beidou Wang, Chun Chen. Locally discriminative spectral clustering with composite manifold. Neurocomputing. Vol. 119, 243-252, 2013. (SCI 二区)

[40]   Ping Li, Jiajun Bu, Chun Chen, Can Wang, Deng Cai. Subspace learning via locally constrained A-optimal nonnegative projection. Neurocomputing. Vol.115, 49-62. 2013. (SCI 二区)

[41]   Ping Li, Jiajun Bu, Deng Cai. Multi-manifold concept factorization for data clustering. International Journal of Software and Informatics (IJSI). Vol.7, No.3, 407-418. 2013. (一级学报英文版)

[42]   Ping Li, Chun Chen, Jiajun Bu. Clustering analysis using manifold kernel concept factorization.  Neurocomputing. Vol.87, 120-131. 2012. (SCI 二区)

[43]   Hong Li, Yuejian Guo, Min Wu, Ping Li, Yao Xiang. Combine multi-valued attribute decomposition with multi-label learning. Expert Systems With Applications.37(12), 8721-8728,2010. (SCI一区TOP)  

[44]   Hong Li, Ping Li, Yuejian Guo, Min Wu. Multi-label dimensionality reduction based on semi-supervised discriminant analysis. Journal of Central South University of Technology. 17(6), 1310-1319, 2010. (SCI三区)

[45]   Ping Li, Hong Li, Min Wu. Distributed event region fault-tolerance based on weighted distance for wireless sensor networks. Journal of Systems Engineering and Electronics. 20(6), 1351-1360, 2009. (SCI)

Conference

[1]      Ping Li*, Jianan Ni, Bo Pang. Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition. In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2025. (TOP-Tier, CCF-A)

[2]      Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai. Pseudo label refinery for unsupervised domain adaptation on cross-dataset 3D object detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (TOP-Tier, CCF-A)

[3]      Qinghao Ye*#, Xiyue Shen#, Yuan Gao#, Zirui Wang#, Qi Bi, Ping Li*, Guang Yang. Temporal cue guided video highlight detection with low-rank audio-visual fusion. In Proceedings of the International Conference on Computer Vision (ICCV), Virtual, 2021:7950-7959. (TOP-Tier, CCF-A) 2021.10.11-17

[4]      Ping Li, Guopan Zhao, Huaxin Xiao*. Adaptive deep metric ensemble learning with consensus. In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 2021. (CCF-B, Oral)  2021.7.5-9

[5]      Huaxin Xiao, Yang Peng, Hanlin Tan, Ping Li*. Dynamic cross fusion network for building-based damage assessment.  In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 2021. (CCF-B)

[6]      Li Yuan*, Francis Tay, Ping Li, Li Zhou, Jiashi Feng. Cycle-SUM: Cycle-consistent adversarial LSTM networks for unsupervised video summarization. In Proceedings of the 23-rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, 2019:9143-9150. (TOP-Tier, CCF-A)

[7]      Ping Li*, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan. Online robust low-rank tensor learning. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017. (TOP-Tier, CCF-A)

[8]      Ping Li*, Jiajun Bu, Chun Chen, Zhanying He. Relational co-clustering via manifold ensemble learning. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii, USA, 2012. (Flagship, CCF-B)

 * Ping Li © 2014-2025. Last modified: April 29, 2025.