Feature classification based on local information. - Ling Shao 001; Ihor O. Kirenko; Ping Li 006 (EUSIPCO, 2006)

Multi-label Classification based on Association Rules with Application to Scene Classification. - Bo Li; Hong Li; Min Wu 002; Ping Li 006 (ICYCS, 2008)

Combine multi-valued attribute decomposition with multi-label learning. - Hong Li; Yuejian Guo; Min Wu 002; Ping Li 006; Yao Xiang (Expert Syst. Appl., 2010)

Relational co-clustering via manifold ensemble learning. - Ping Li 006; Jiajun Bu; Chun Chen 001; Zhanying He (CIKM, 2012)

Clustering analysis using manifold kernel concept factorization. - Ping Li 006; Chun Chen 001; Jiajun Bu (Neurocomputing, 2012)

Subspace learning via Locally Constrained A-optimal nonnegative projection. - Ping Li 006; Jiajun Bu; Chun Chen 001; Can Wang 001; Deng Cai 001 (Neurocomputing, 2013)

Locally discriminative spectral clustering with composite manifold. - Ping Li 006; Jiajun Bu; Bin Xu 005; Beidou Wang; Chun Chen 001 (Neurocomputing, 2013)

Multi-Manifold Concept Factorization for Data Clustering. - Ping Li 006; Jiajun Bu; Deng Cai 001 (Int. J. Softw. Informatics, 2013)

Multi-label ensemble based on variable pairwise constraint projection. - Ping Li 006; Hong Li; Min Wu 002 (Inf. Sci., 2013)

Relational Multimanifold Coclustering. - Ping Li 006; Jiajun Bu; Chun Chen 001; Zhanying He; Deng Cai 001 (IEEE Trans. Cybern., 2013)

Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation. - Ping Li 006; Jiajun Bu; Yi Yang 001; Rongrong Ji; Chun Chen 001; Deng Cai 001 (Expert Syst. Appl., 2014)

Manifold optimal experimental design via dependence maximization for active learning. - Ping Li 006; Jiajun Bu; Chun Chen 001; Deng Cai 001 (Neurocomputing, 2014)

Hypergraph canonical correlation analysis for multi-label classification. - Yaqing Wang; Ping Li 006; Cheng Yao (Signal Process., 2014)

Multi-view based multi-label propagation for image annotation. - Zhanying He; Chun Chen 001; Jiajun Bu; Ping Li 006; Deng Cai 001 (Neurocomputing, 2015)

Graph-based local concept coordinate factorization. - Ping Li 006; Jiajun Bu; Lijun Zhang 005; Chun Chen 001 (Knowl. Inf. Syst., 2015)

Sparse fixed-rank representation for robust visual analysis. - Ping Li 006; Jiajun Bu; Bin Xu 005; Zhanying He; Chun Chen 001; Deng Cai 001 (Signal Process., 2015)

Relational Multi-Manifold Co-Clustering. - Ping Li 006; Jiajun Bu; Chun Chen 001; Zhanying He; Deng Cai 001 (CoRR, 2016)

Towards robust subspace recovery via sparsity-constrained latent low-rank representation. - Ping Li 006; Jiajun Bu; Jun Yu 002; Chun Chen 001 (J. Vis. Commun. Image Represent., 2016)

Online Robust Low-Rank Tensor Learning. - Ping Li 006; Jiashi Feng; Xiaojie Jin; Luming Zhang; Xianghua Xu; Shuicheng Yan (IJCAI, 2017)

Constrained Low-Rank Learning Using Least Squares-Based Regularization. - Ping Li 006; Jun Yu 002; Meng Wang 001; Luming Zhang; Deng Cai 001; Xuelong Li 001 (IEEE Trans. Cybern., 2017)

Engineering Deep Representations for Modeling Aesthetic Perception. - Yanxiang Chen; Yuxing Hu; Luming Zhang; Ping Li 006; Chao Zhang 014 (IEEE Trans. Cybern., 2018)

Camera-Assisted Video Saliency Prediction and Its Applications. - Xiao Sun 003; Yuxing Hu; Luming Zhang; Yanxiang Chen; Ping Li 006; Zhao Xie; Zhenguang Liu (IEEE Trans. Cybern., 2018)

Perceptually Aware Image Retargeting for Mobile Devices. - Yinzuo Zhou; Luming Zhang; Chao Zhang 014; Ping Li 006; Xuelong Li 001 (IEEE Trans. Image Process., 2018)

Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. - Li Yuan 007; Francis E. H. Tay; Ping Li 006; Li Zhou; Jiashi Feng (AAAI, 2019)

Scene Categorization Using Deeply Learned Gaze Shifting Kernel. - Xiao Sun 003; Luming Zhang; Zepeng Wang 003; Jie Chang 001; Yiyang Yao; Ping Li 006; Roger Zimmermann (IEEE Trans. Cybern., 2019)

Learning Latent Stable Patterns for Image Understanding With Weak and Noisy Labels. - Yiyang Yao; Luo Wang; Luming Zhang; Yi Yang 001; Ping Li 006; Roger Zimmermann; Ling Shao 001 (IEEE Trans. Cybern., 2019)

Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis. - Ping Li 006; Jiashi Feng; Xiaojie Jin; Luming Zhang; Xianghua Xu; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2019)

Recurrent Compressed Convolutional Networks for Short Video Event Detection. - Ping Li 006; Xianghua Xu (IEEE Access, 2020)

Are RGB-based salient object detection methods unsuitable for light field data? - Yu Liu 008; Huaxin Xiao; Hanlin Tan; Ping Li 006 (EURASIP J. Image Video Process., 2020)

Abnormal visual event detection based on multi-instance learning and autoregressive integrated moving average model in edge-based Smart City surveillance. - Xianghua Xu; LiQiming Liu; Lingjun Zhang; Ping Li 006; Jinjun Chen (Softw. Pract. Exp., 2020)

Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks. - Li Yuan 007; Francis Eng Hock Tay; Ping Li 006; Jiashi Feng (IEEE Trans. Multim., 2020)

Flickr Image Community Analytics by Deep Noise-Refined Matrix Factorization. - Luming Zhang; Jianwei Yin; Ping Li 006; Yongheng Shang; Roger Zimmermann; Ling Shao 001 (IEEE Trans. Multim., 2020)

Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion. - Qinghao Ye; Xiyue Shen; Yuan Gao 017; Zirui Wang; Qi Bi; Ping Li 006; Guang Yang 006 (ICCV, 2021)

Adaptive Deep Metric Ensemble Learning with Consensus. - Ping Li 006; Guopan Zhao; Huaxin Xiao (ICME, 2021)

Dynamic Cross Fusion Network for Building-Based Damage Assessment. - Huaxin Xiao; Yang Peng; Hanlin Tan; Ping Li 006 (ICME, 2021)

Video summarization with a graph convolutional attention network. - Ping Li 006; Chao Tang; Xianghua Xu (Frontiers Inf. Technol. Electron. Eng., 2021)

Exploring global diverse attention via pairwise temporal relation for video summarization. - Ping Li 006; Qinghao Ye; Luming Zhang; Li Yuan 007; Xianghua Xu; Ling Shao 001 (Pattern Recognit., 2021)

Graph convolutional network meta-learning with multi-granularity POS guidance for video captioning. - Ping Li 006; Pan Zhang; Xianghua Xu (Neurocomputing, 2022)

Coarse-to-fine few-shot classification with deep metric learning. - Ping Li 006; Guopan Zhao; Xianghua Xu (Inf. Sci., 2022)

Community-Aware Photo Quality Evaluation by Deeply Encoding Human Perception. - Luming Zhang; Yongheng Shang; Ping Li 006; Hao Luo 001; Ling Shao 001 (IEEE Trans. Cybern., 2022)

Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation. - Ping Li 006; Junjie Chen; Li Yuan 007; Xianghua Xu; Mingli Song (CoRR, 2023)

Pair-wise Layer Attention with Spatial Masking for Video Prediction. - Ping Li 006; Chenhan Zhang; Zheng Yang; Xianghua Xu; Mingli Song (CoRR, 2023)

Prototype contrastive learning for point-supervised temporal action detection. - Ping Li 006; Jiachen Cao; Xingchao Ye (Expert Syst. Appl., 2023)

Time-frequency recurrent transformer with diversity constraint for dense video captioning. - Ping Li 006; Pan Zhang; Tao Wang; Huaxin Xiao (Inf. Process. Manag., 2023)

Deep metric learning via group channel-wise ensemble. - Ping Li 006; Guopan Zhao; Jiajun Chen; Xianghua Xu (Knowl. Based Syst., 2023)

Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection. - Ping Li 006; Jiachen Cao; Li Yuan 007; Qinghao Ye; Xianghua Xu (Pattern Recognit., 2023)

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection. - Zhanwei Zhang; Minghao Chen 001; Shuai Xiao; Liang Peng; Hengjia Li; Binbin Lin; Ping Li 006; Wenxiao Wang 001; Boxi Wu; Deng Cai 001 (CVPR, 2024)

Residual spatial fusion network for RGB-thermal semantic segmentation. - Ping Li 006; Junjie Chen; Binbin Lin; Xianghua Xu (Neurocomputing, 2024)

Bridging knowledge distillation gap for few-sample unsupervised semantic segmentation. - Ping Li 006; Junjie Chen; Chen Tang (Inf. Sci., 2024)

Fast Fourier Inception Networks for Occluded Video Prediction. - Ping Li 006; Chenhan Zhang; Xianghua Xu (IEEE Trans. Multim., 2024)

Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation. - Ping Li 006; Yu Zhang; Li Yuan 007; Xianghua Xu (Inf. Process. Manag., 2024)

Efficient Long-Short Temporal Attention network for unsupervised Video Object Segmentation. - Ping Li 006; Yu Zhang; Li Yuan 007; Huaxin Xiao; Binbin Lin; Xianghua Xu (Pattern Recognit., 2024)

Adversarial Attacks on Video Object Segmentation With Hard Region Discovery. - Ping Li 006; Yu Zhang; Li Yuan 007; Jian Zhao 006; Xianghua Xu; Xiaoqin Zhang 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Uncertainty Estimation with Self-Distillation for semi-supervised few-shot classification. - Jiajun Chen; Ping Li 006; Renshu Gu (Knowl. Based Syst., 2025)

Pseudo-labeling with keyword refining for few-supervised video captioning. - Ping Li 006; Tao Wang; Xinkui Zhao; Xianghua Xu; Mingli Song (Pattern Recognit., 2025)