Chao Zhang ––– Selected Publications

TPAMI C. Zhang, H. Li, C. Chen, Y. Qian, and X. Zhou. Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(5): 2438-2452.

TIP C. Zhang, Z. Wang, X. Jia, Z. Li, C. Chen, and H. Li. Multi-view Clustering with Incremental Instances and Views. IEEE Transactions on Image Processing, 2025, 34: 4203-4214.

TMM D. Xu, C. Zhang✉, Z. Li, C. Chen, and H. Li. Fast Disentangled Slim Tensor Learning for Multi-view Clustering. IEEE Transactions on Multimedia, 2025, 27(12): 1254-1265.

TNNLS W. Fan, C. Zhang, H. Li, X. Jia, and G. Wang. Three-Stage Semi-Supervised Cross-Modal Hashing with Pairwise Relations Exploitation. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(1): 260-273.

TNNLS W. Lv, C. Zhang✉, H. Li, X. Jia, and C. Chen. Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(12): 17559-17570.

TKDD F. Lei, C. Zhang, H. Li, Y. Gao, and C. Chen. Label Distribution Guided Hashing for Cross-Modal Retrieval. ACM Transactions on Knowledge Discovery from Data, 2024, 19(1): 1-23.

PR C. Zhang, H. Chen, H. Li, and C. Chen. Learning Latent Disentangled Embeddings and Graphs for Multi-view Clustering. Pattern Recognition, 2024, 156: 110839.

TNNLS C. Zhang, H. Li, C. Chen, X. Jia, and C. Chen. Low-rank Tensor Regularized Views Recovery for Incomplete Multi-view Clustering. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(7): 9312-9324.

INFFUS C. Zhang, W. Fan, B. Wang, C. Chen, and H. Li. Self-paced Semi-supervised Feature Selection with Application to Multi-modal Alzheimer's Disease Classification. Information Fusion, 2024, 107: 102345.

TKDE C. Zhang, H. Li, Y. Gao, and C. Chen. Weakly-supervised Enhanced Semantic-aware Hashing for Cross-modal Retrieval. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(6): 6475-6488.

TKDE H. Li, C. Zhang, X. Jia, Y. Gao, and C. Chen. Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-modal Retrieval. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(2): 1185-1199.

TMM K. Luo, C. Zhang, H. Li, X. Jia, and C. Chen. Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval. IEEE Transactions on Multimedia, 2023, 25: 9082-9095.

TNNLS C. Zhang, H. Li, Y. Qian, C. Chen, and X. Zhou. Locality-constrained Discriminative Matrix Regression for Robust Face Identification. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(3): 1254-1268.

TCSVT C. Zhang, H. Li, Y. Qian, C. Chen, and X. Zhou. Pairwise Relations Oriented Discriminative Regression. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(7): 2646-2660.

ICML'26 X. Zhang, C. Zhang✉, C. Chen, H. Li. MAGIC: Multi-Granularity Language-Informed Image Clustering. International Conference on Machine Learning, 2026.

IJCAI'26 C. Zhang, C. Zhang, J. Zhang, J. Guan, X Zhou, B Wang, H. Li. Dual-Topology Learning with Adaptive Anchors for Multi-View Clustering. International Joint Conference on Artificial Intelligence, 2026.

AAAI'26 H. Mei, C. Zhang✉, W. Fan, X. Jia, C. Chen, H. Li. Semantic-Aware Feature Enhancement for Partial Label Learning. AAAI Conference on Artificial Intelligence, 2026.

AAAI'26 X. Zhang, C. Zhang, D. Xu, H. Yu, C. Chen, H. Li. Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration. AAAI Conference on Artificial Intelligence, 2026.

AAAI'26 W. Fan, C. Zhang, C. Chen, H. Li. Online Cross-Modal Hashing with Expanding Label Space. AAAI Conference on Artificial Intelligence, 2026.

AAAI'26 Y. Zhang, Y. Lin, X. Wan, C. Zhang, J. Xu, C. Chen, T.T. Wong, L. Yao. Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling. AAAI Conference on Artificial Intelligence, 2026.

MM'25 W. Fan, C. Zhang, C. Chen, and H. Li. Online Cross-Modal Hashing with Multi-Level Memory. ACM International Conference on Multimedia, 2025.

AAAI'25 D. Xu, C. Zhang✉, C. Guo, C. Chen, and H. Li✉. Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction. AAAI Conference on Artificial Intelligence, 2025.

AAAI'25 Y. Zhang, Y. Lin, W. Yan, L. Yao, X. Wan, G. Li, C. Zhang, G. Ke, J. Xu. Incomplete Multi-view Clustering via Diffusion Contrastive Generation. AAAI Conference on Artificial Intelligence, 2025.

KDD'25 C. Zhang, D. Xu, C. Chen, and H. Li. Semi-supervised Multi-view Clustering with Active Constraints. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.

IJCAI'24 C. Zhang, D. Xu, X. Jia, C. Chen, and H. Li. Continual Multi-View Clustering with Consistent Anchor Guidance. International Joint Conference on Artificial Intelligence, 2024, 5434-5442.

AAAI'24 C. Zhang, X. Jia, Z. Li, C. Chen, and H. Li. Learning Cluster-wise Anchors for Multi-view Clustering. AAAI Conference on Artificial Intelligence, 2024, 38(15): 16696-16704.

MM'23 C. Zhang, J. Wei, B. Wang, Z. Li, C. Chen, and H. Li. Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering. ACM International Conference on Multimedia, 2023: 300-308.

ICML'23 Z. Huang, H. Chen, Z. Wen, C. Zhang, H. Li, B. Wang, and C. Chen. Model-Aware Contrastive Learning: Towards Escaping the Dilemmas. International Conference on Machine Learning, 2023, 202:13774-13790.

AAAI'23 C. Zhang, H. Li, W. Lv, Z. Huang, Y. Gao, and C. Chen. Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering. AAAI Conference on Artificial Intelligence, 2023, 37(9): 11174-11182.