GREETINGS! WELCOME TO MY HOMEPAGE!

Zheng Zhang
Professor, Doctoral Supervisor
Harbin Institute of Technology, Shenzhen

"Everything should be as simple as possible, but not simpler." — Albert Einstein
"The more I learn, the more I realize how much I don't know." — Albert Einstein
"Not everything that counts can be counted, and not everything that’s counted truly counts." — Albert Einstein

Full Publication

Homepage || Selected Publication
Journal Papers:
  1. Z. Zhang, J. Li, X. Chang, Y. Zhang, Guest Editorial: Domain Adaptation and Generalization for Biomedical and Health Informatics, IEEE Journal of Biomedical and Health Informatics (JBHI), 2025. (Q1, TOP)
  2. L. Tang, T. Chai, Z. Zhang, M. Zhang, X. Wu, PalmDiff: When Palmprint Generation Meets Controllable Diffusion Model, IEEE Transactions on Image Processing (TIP), 2025. (CCF A, Q1, TOP)
  3. W. He, Z. Zhang*, X. Zhu, Dual Correlation Guided Anchor Learning for Scalable Incomplete Multi-view Clustering, IEEE Transactions on Neural Networks and Learning System (TNNLS), 2025. (CCF B, Q1, TOP)
  4. G. Xie, J. Li, T. Guo, X. Shu*, F. Zhao, Z. Zhang*, L. Shao, Attribute Prompt Alignment Network for Zero-Shot Learning, IEEE Transactions on Neural Networks and Learning System (TNNLS), 2025. (CCF B, Q1, TOP)
  5. Y. Liu, S. Lin, B. Chen, Z. Zhang, G. Lu, Self-Supervised Medical Adversarial Robustness with Two-Stage Contrastive Constraints, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2025. (Q1)
  6. K. Sun, J. Liu, Z. Zhang, Y. Long, W. Yang, Y. Yan, H. Zhang, Synthesizing Spreading-out Features for Generative Zero-Shot Image Classification, Engineering Applications of Artificial Intelligence (EAAI), 2025. (Q1, TOP)
  7. S. Li, C. Jiang, S. Wang, Y. Long, Z. Zhang, H. Zhang, Contextual Interaction via Primitive-based Adversarial Training for Compositional Zero-shot Learning, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2025. (CCF B, Q1)
  8. W. Li, Z. Zhang*, X. Lan, Y. Wang, Untargeted Black-box Attack against Healthcare Image Retrieval via Rank Manipulation, IEEE Transactions on Consumer Electronics (TCE), 2025. (Q1)
  9. Z. Che, Z. Zhang*, Y. Wu, M. Wang, Disentangle and Then Fuse: A Cross-Modal Network for Synthesizing Gadolinium-Enhanced Brain MR Images, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. (CCF B, Q1, TOP)
  10. T. Wang, F. Li, L. Zhu, J. Li, Z. Zhang, H. T. Shen, Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions, Proceedings of the IEEE (PIEEE), 2025. (CCF A, Q1, TOP)
  11. X. Guan¹, Z. Zhang¹, Y. Wang, Y. Li, Y. Zhang, Supervised Information Mining from Weakly Paired Images for Breast IHC Virtual Staining, IEEE Transactions on Medical Imaging (TMI), 2025. (CCF B, Q1, TOP)
  12. Q. Zhu, A. Li, Z. Zhang, C. Zheng, J. Zhao, J. Liu, D. Zhang, W. Shao, Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-cell RNA-seq, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2024. (CCF B, Q1)
  13. Q. Wu, Z. Zhang*, Y. Liu, J. Zhang, L. Nie, Contrastive Multi-bit Collaborative Learning for Deep Cross-modal Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A, Q1, TOP)
  14. R. Zuo, C. Zheng, F. Li, Z. Zhang, L. Zhu, Privacy-Enhanced Prototype-based Federated Cross-modal Hashing for Cross-modal Retrieval, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024. (CCF B, Q1)
  15. H. Luo, Z. Zhang*, L. Nie, Contrastive Incomplete Cross-modal Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A, Q1, TOP)
  16. Y. Liu, B. Chen, S. Wang, G. Lu, Z. Zhang*, Deep Fuzzy Multi-Teacher Distillation Network for Medical Visual Question Answering, IEEE Transactions on Fuzzy Systems (TFS), 2024. (CCF B, Q1)
  17. B. Chen, X. Huang, Y. Liu, Z. Zhang, G. Lu, Z. Zhou, J. Pan, Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation, IEEE Transactions on Instrumentation & Measurement (TIM), 2024. (CCF B, Q1)
  18. D. Ren, S. Wang, Z. Zhang, W. Yang, M. Ren, H. Zhang, Unsupervised Cross Domain Semantic Segmentation with Mutual Refinement and Information Distillation, Neurocomputing, 2024. (CCF C, Q1, TOP)
  19. C. Jiang, S. Wang, Y. Shen, Q. Ye, Z. Zhang, H. Zhang, Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning, Pattern Recognition (PR), vol. 152, pp. 110451, August 2024. (CCF B, Q1, TOP)
  20. Z. Zhang*, X. Yuan, L. Zhu, J. Song, L. Nie, BadCM: Invisible Backdoor Attack against Cross-Modal Learning, IEEE Transactions on Image Processing (TIP), 2024. (CCF A, Q1, TOP)
  21. Y. Zhu, S. Wang, T. Xin, Z. Zhang, H. Zhang, Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation, IEEE Transactions on Instrumentation & Measurement (TIM), 2024. (CCF B, Q1)
  22. F. Li, B. Wang, L. Zhu, J. Li, Z. Zhang, X. Chang, Cross-Domain Transfer Hashing for Efficient Cross-modal Retrieval, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. (CCF B, Q1, TOP)
  23. T. Wang, F. Li, L. Zhu, J. Li, Z. Zhang, H. T. Shen, Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval, ACM Transactions on Information Systems (TOIS), 2024. (CCF A, Q1)
  24. H. Lin, Y. Li, Z. Zhang*, L. Zhu, Y. Xu, Learning with Noisy Labels by Semantic and Feature Space Collaboration, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2024.3371513, 2024. (CCF B, Q1, TOP)
  25. C. Zheng, L. Zhu, Z. Zhang, W. Duan, W. Lu, LCEMH: Label Correlation Enhanced Multi-modal Hashing for Efficient Multi-modal Retrieval, Information Sciences (INS), 2024. (CCF B, Q1, TOP)
  26. Q. Zhu, H. Zheng, Z. Zhang*, W. Shao, D. Zhang, Dynamic Confidence-Aware Multi-Modal Emotion Recognition, IEEE Transactions on Affective Computing (TAC), DOI: 10.1109/TAFFC.2023.3340924, 2024. (CCF B, Q1, TOP)
  27. Y. Li, J. Huang, S. Lu, Z. Zhang*, G. Lu, Cross-Domain Facial Expression Recognition via Contrastive Warm up and Complexity-aware Self-Training, IEEE Transactions on Image Processing (TIP), 2023. (CCF A, Q1, TOP)
  28. W.-J. He, Z. Zhang*, Y. Wei, Scalable Incomplete Multi-view Clustering with Adaptive Data Completion, Information Sciences (INS), 2023. (CCF B, Q1, TOP)
  29. Q. Zhu, G. Xin, L. Fei, D. Liang, Z. Zhang, D. Zhang, D. Zhang, Contact-less Palmprint Image Recognition across Smartphones with Self-paced CycleGAN, IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 4944-4954, 2023. (CCF A, Q1, TOP)
  30. X. Yuan, Z. Zhang*, X. Wang, L. Wu, Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval, IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 4681-4694, 2023. (CCF A, Q1, TOP)
  31. H. Cui, F. Li, L. Zhu, J. Li, Z. Zhang, Online Query Expansion Hashing for Efficient Image Retrieval, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2023.3296412,2023. (CCF B, Q1, TOP)
  32. Z. Zhang*, W.-J. He, Tensorized Topological Graph Learning for Generalized Incomplete Multi-view Clustering, Information Fusion, 2023. (Q1, TOP)
  33. C. Zheng, F. Li, L. Zhu, Z. Zhang, W. Lu, One for more: Structured Multi-Modal Hashing for multiple multimedia retrieval tasks, Expert Systems with Applications, no. 120913, 2023. (CCF C, Q1, TOP)
  34. L. Wu, L. Liu, Y. Wang, Z. Zhang, F. Boussaid, M. Bennamoun, Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification, IEEE Transactions on Image Processing (TIP), 2023. (CCF A, Q1, TOP)
  35. B. Chen, Y. Liu, Z. Zhang*, G. Lu, W.K. Kong, TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023. (Q1)
  36. Y. Chen, X. Zhao, Z. Zhang*, Y. Liu, J. Su, Y. Zhou, Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multi-View Clustering, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (CCF B, Q1, TOP)
  37. Q. Yang, Q. Zhu, M. Wang, W. Shao, Z. Zhang, D. Zhang, Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis, IEEE Transactions on Big Data (TBD), 2023. (CCF C, Q1)
  38. Y. Chen, Y.-P. Zhao, S. Wang, J. Chen, Z. Zhang, Partial Tubal Nuclear Norm Regularized Multi-view Subspace Learning, IEEE Transactions on Cybernetics (TCYB), 2023. (CCF B, Q1, TOP)
  39. T. Wang, L. Zhu, Z. Zhang, H. Zhang, J. Han, Targeted Adversarial Attack against Deep Cross-modal Hashing Retrieval, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF B, Q1, TOP)
  40. L. Shi, Z. Zhang*, Z. Fan, C. Xi, Z. Li, G. Wu, Kernel Fisher Dictionary Transfer Learning, ACM Transactions on Knowledge Discovery from Data (TKDD), 2023. (CCF B, Q1)
  41. M. Hou, Z. Zhang*, C. Liu, G. Lu, Semantic Alignment Network for Multi-modal Emotion Recognition, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF B, Q1, TOP)
  42. Z. Zhang*, J. Wang, L. Zhu, Y. Luo, G. Lu, Deep Collaborative Graph Hashing for Discriminative Image Retrieval, Pattern Recognition, 2023. (CCF B, Q1, TOP)
  43. Y. Liu, B. Chen, Z. Zhang, H. Yu, S. Ru, X. Chen, G. Lu, Self-paced Multi-view Learning for CT-based Severity Assessment of COVID-19, Biomedical Signal Processing and Control, 2023. (Q2)
  44. J. Pan, W. Fang, Z. Zhang, B. Chen, Z. Zhang, S. Wang, Multimodal Emotion Recognition based on Facial Expressions, Speech, and EEG, IEEE Open Journal of Engineering in Medicine and Biology, DOI: 10.1109/OJEMB.2023.3240280, 2023.
  45. W. Tan, L. Zhu, J. Li, Z. Zhang, H. Zhang, Partial Multi-Modal Hashing via Neighbor-aware Completion Learning, IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2023.3238308, 2023. (CCF B, Q1, TOP)
  46. J. Zhang, S. Liao, H. Zhang, Y. Long, Z. Zhang, L. Liu, Data Driven Recurrent Generative Adversarial Network for Generalized Zero Shot Image Classification, Information Sciences (INS), 2023. (CCF B, Q1, TOP)
  47. D. Shi, L. Zhu, J. Li, Z. Zhang, X. Chang, Unsupervised Adaptive Feature Selection with Binary Hashing, IEEE Transactions on Image Processing (TIP), 2023. (CCF A, Q1, TOP)
  48. L. Zhu, X. Wu, J. Li, Z. Zhang, W. Guan, H. T. Shen, Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-modal Retrieval, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A, Q1, TOP)
  49. C. Zheng, L. Zhu, Z. Zhang, J. Li, X. Yu, Efficient Semi-supervised Multi-modal Hashing with Importance Differentiation Regression, IEEE Transactions on Image Processing (TIP), 2022. (CCF A, Q1, TOP)
  50. T. Wang, L. Zhu, J. Li, Z. Zhang, J. Shen, X. Wang, Efficient Query-based Black-Box Attack against Cross-modal Hashing Retrieval, ACM Transactions on Information Systems (TOIS), 2022. (CCF A, Q1)
  51. J. Qin, L. Fei, Z. Zhang*, J. Wen, Y. Xu, D. Zhang, Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval, IEEE Transactions on Image Processing (TIP), 2022. (CCF A, Q1, TOP)
  52. J. Wen, Z. Zhang¹, L. Fei, B. Zhang, Y. Xu, Z. Zhang, J. Li, A Survey on Incomplete Multi-view Clustering, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCA), 2022. (CCF B, Q1, TOP)
  53. J. Wen, L. Fei, Z. Zhang, B. Zhang, Z. Zhang, Y. Xu, Discriminative Regression with Adaptive Graph Diffusion, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2022.3185408, 2022. (CCF B, Q1, TOP)
  54. H. Li, X. Shi, X. Zhu, S. Wang, Z. Zhang*, FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), DOI: 10.1109/TETCI.2022.3183679, 2022. (Q1)
  55. A. Lin, B. Chen, J. Xu, Z. Zhang*, G. Lu, DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation, IEEE Transactions on Instrumentation & Measurement (TIM), 2022. (CCF B, Q1)
  56. L. Sun, J. Wen, J. Wang, Z. Zhang, Y. Zhao, G. Zhang, Y. Xu, Breast Mass Classification based on Supervised Contrastive Learning and Multi-view Consistency Penalty on Mammography, IET Biometrics, 2022.
  57. Q. Zhu, J. Yang, S. Wang, D. Zhang, Z. Zhang*, Multi-Modal Non-Euclidean Brain Network Analysis with Community Detection and Convolutional Autoencoder, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), DOI: 10.1109/TETCI.2022.3183679, 2022. (Q1)
  58. S. Wang, Z. Dong, Z. Zhang, Y. Huo, M. E. Celebi, C. Shan, Guest Editorial Emerging Challenges for Deep Learning, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), vol. 26, no. 11, pp. 5287-5288, 2022. (CCF C, Q1, TOP)
  59. Z. Zhang, J. Wang, L. Zhu, G. Lu, Discriminative Visual Similarity Search with Semantically Cycle-consistent Hashing Networks, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022. (CCF B, Q1)
  60. Z. Zhang, C. M. Pun, Learning Ordinal Constraint Binary Codes for Fast Similarity Search, Information Processing and Management (IP&M), vol. 59, no. 3, pp. 102919, 2022. (CCF B, Q1, TOP)
  61. Z. Zhang, H. Luo, L. Zhu, G. Lu, H. T. Shen, Modality-Invariant Asymmetric Networks for Cross-Modal Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A, Q1, TOP)
  62. M. Hou, Z. Zhang*, Q. Cao, D. Zhang, G. Lu, Multi-view Speech Emotion Recognition via Collective Relation Construction, IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2022. (CCF B, Q1, TOP)
  63. Y. Li, Z. Zhang*, B. Chen, G. Lu, D. Zhang, Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition, IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2022.3141604, 2022. (CCF B, Q1, TOP)
  64. W. He, Z. Zhang*, Y. Chen, J. Wen, Structured Anchor-inferred Graph Learning for Universal Incomplete Multi-view Clustering, World Wide Web: Internet and Web Information Systems (WWWJ), 2022. (CCF B, Q2) [code]
  65. S. Lu, Z. Zhang¹, Y. Zhang, S. Wang, CGENet: A Deep Graph Model for COVID-19 Detection based on Chest CT, Biology-Basel, 2022. (Co-first author, Q1)
  66. B. Chen, Q. Cao, M. Hou, Z. Zhang*, G. Lu*, D. Zhang, Multimodal Emotion Recognition with Temporal and Semantic Consistency, IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2021. (CCF B, Q1, TOP)
  67. D. Shi, L. Zhu, J. Li, Z. Cheng, Z. Zhang, Flexible Multi-view Spectral Clustering with Self-adaptation, IEEE Transactions on Cybernetics (TCYB), 2021. (CCF B, Q1, TOP)
  68. G. Dong, C.-M. Pun, Z. Zhang, Temporal Relation Inference Network for Multi-modal Speech Emotion Recognition, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. (CCF B, Q1, TOP)
  69. Y. Zhang, Z. Zhang, Y. Wang, Z. Zhang, L. Zhang, S. Yan, M. Wang, Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior, International Journal of Computer Vision (IJCV), 2021. (CCF A, Q1, TOP)
  70. J. An, H. Luo, Z. Zhang*, L. Zhu, G. Lu, Cognitive Multi-modal Consistent Hashing with Flexible Semantic Transformation, Information Processing and Management (IP&M), 2021. (CCF B, Q1, TOP)
  71. X. Wu, L. Zhu, L. Xie, Z. Zhang, H. Zhang, Multi-modal Discrete Tensor Decomposition Hashing for Efficient Multimedia Retrieval, Neurocomputing, 2021. (CCF C, Q1, TOP)
  72. G.-S. Xie, Z. Zhang*, H. Xiong, L. Shao, Towards Zero-Shot Learning: A Brief Review and an Attention-based Embedding Network, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. (CCF B, Q1, TOP)
  73. T. Chen, Z. Zhang*, G.-S. Xie, S.-H. Wang, Z. Tang, Q. Wang, Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation, IEEE Transactions on Multimedia (TMM), 2021. (CCF B, Q1, TOP)
  74. Y. Li, Y. Lu, B. Chen, Z. Zhang*, J. Li, G. Lu, D. Zhang, Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. (CCF B, Q1, TOP)
  75. Y. Li, Y. Gao, B. Chen, Z. Zhang*, G. Lu, D. Zhang, Self-supervised Exclusive-Inclusive Interactive Learning for Multi-label Facial Expression Recognition in the Wild, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. (CCF B, Q1, TOP)
  76. B. Chen, Z. Zhang*, Y. Lu, F. Chen, G. Lu, D. Zhang, Semantic-Interactive Graph Convolutional Network for Multi-label Image Recognition, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCA), 2021. (CCF B, Q1, TOP)
  77. G. Dong, C.-M. Pun, Z. Zhang, Kinship Verification Based on Cross-Generation Feature Interaction Learning, IEEE Transactions on Image Processing (TIP), 2021. (CCF A, Q1, TOP)
  78. X. Shen, H. Zhang, L. Li, Z. Zhang, D. Chen, L. Liu, Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval, Neurocomputing, vol. 459, pp. 152-164, 2021. (CCF C, Q1, TOP)
  79. Q. Chen, H. Zhang, Q. Ye, Z. Zhang, W. Yang, Learning Discriminative Feature via a Generic Auxiliary Distribution for Unsupervised Domain Adaptation, International Journal of Machine Learning and Cybernetics, 2021. (Q1)
  80. G. Dong, C.-M. Pun, Z. Zhang, Deep Collaborative Multi-modal Learning for Unsupervised Kinship Estimation, IEEE Transactions on Information Forensics and Security (TIFS), 2021. (CCF A, Q1, TOP)
  81. Z. Zhang*, X. Wang, G. Lu, F. Shen, L. Zhu, Targeted Attack of Deep Hashing via Prototype-supervised Adversarial Networks, IEEE Transactions on Multimedia (TMM), 2021. (CCF B, Q1, TOP)
  82. Y.-D. Zhang, Z. Zhang¹, X. Zhang, S.-H. Wang, MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray, Pattern Recognition Letters (PRL), 150: 8-16, 2021. (CCF C, Q1)
  83. Z. Fan, L. Shi, Q. Zhang, Z. Li, Z. Zhang*, Discriminative Fisher Embedding Dictionary Transfer Learning for Object Recognition, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. (CCF B, Q1, TOP)
  84. G. Xie, T.-Z. Xiang, F. Zhao, X.-Y. Zhang, Z. Zhang, L. Shao, X. Li, Leveraging Balanced Semantic Embedding for Generative Zero-Shot Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. (CCF B, Q1, TOP)
  85. Y. Xu, L. Zhu, Z. Cheng, J. Li, Z. Zhang, H. Zhang, Multi-modal Discrete Collaborative Filtering for Efficient Cold-start Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF A, Q1, TOP)
  86. F. Wang, L. Zhu, L. Xie, Z. Zhang, M. Zhong, Label Propagation with Structured Graph Learning for Semi-supervised Dimension Reduction, Knowledge-Based Systems (KBS), vol. 225, pp. 107130, 2021. (CCF C, Q1, TOP)
  87. B. Chen, Z. Zhang*, Y. Li, G. Lu, D. Zhang, Multi-Label Chest X-ray Image Classification via Semantic Similarity Graph Embedding, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. (CCF B, Q1, TOP)
  88. G. Xie, X.-Y. Zhang, F. Zhao, Z. Zhang, Y. Yao, L. Shao, VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning, IEEE Transactions on Image Processing (TIP), 2021. (CCF A, Q1, TOP)
  89. B. Chen, Y. Liu, Z. Zhang*, Y. Li, Z. Zhang, G. Lu, H. Yu, Deep Active Context Estimation for Automated COVID-19 Diagnosis, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021. (CCF B, Q1)
  90. X. Zhu, H. Li, H. T. Shen, Z. Zhang, Y. Ji, Y. Fan, Fusing Functional Connectivity with Network Nodal Information for Sparse Network Pattern Learning of Functional Brain Networks, Information Fusion (INFFUS), 75: 131-139, 2021. (CCF B, Q1, TOP)
  91. Z. Li, Z. Zhang*, S. Wang, R. Ma, F. Lei, D. Xiang, Structured Analysis Dictionary Learning Based on Discriminative Fisher Pair, Journal of Ambient Intelligence and Humanized Computing (AIHC), 2021. (Q1)
  92. F. Li, T. Wang, L. Zhu, Z. Zhang, X. Wang, Task-adaptive Asymmetric Deep Cross-modal Hashing, Knowledge-Based Systems (KBS), vol. 219, pp. 106851, 2021. (CCF C, Q1, TOP)
  93. Y. Lu, Z. Zhang*, G. Lu*, Y. Zhou, J. Li, D. Zhang, Addi-Reg: A Better Generalization-Optimization Trade-off Regularization Method for Convolutional Neural Networks, IEEE Transactions on Cybernetics (TCYB), DOI:10.1109/TCYB.2021.3062881, 2021. (CCF B, Q1, TOP)
  94. Z. Zhang, Z. Tang, Y. Wang, Z. Zhang, C. Zhan, Z. Zha, M. Wang, Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition, Neural Networks (NN), 2021. (CCF B, Q1)
  95. Z. Zhang, M. Wang, S. Li, Z. Zhang, Deep Dictionary Learning: Algorithm, Theory and Application, Neurocomputing, 2021. (CCF C, Q1, TOP)
  96. S. Lu, D. Wu, Z. Zhang*, S. Wang, An Explainable Framework for Diagnosis of COVID-19 Pneumonia via Transfer Learning and DCA, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2021. (CCF B, Q1)
  97. Z. Fan, H. Zhang, Z. Zhang*, G. Lu, Y. Zhang, Y. Wang, A Survey of Crowd Counting and Density Estimation based on Convolutional Neural Network, Neurocomputing (NeurCom), 2021. (CCF C, Q1)
  98. J. Wen, K. Yan, Z. Zhang, Y. Xu, Incomplete Multi-view Clustering Based on Low-rank Tensor Graph Learning, Acta Automatica Sinica, 2021.(基于低秩张量图学习的不完整多视角聚类, 自动化学报, 2021) (CCF T1)
  99. Y. Lu, J. Li, Z. Zhang*, Y. Xu, G. Lu, Fully Shared Convolutional Neural Networks, Neural Computing and Applications (NCAA), 2021. (CCF C, Q1)
  100. Z. Zhang, X. Zhu, G. Lu, Y. Zhang, Probability Ordinal-preserving Semantic Hashing for Large-Scale Image Retrieval, ACM Transactions on Knowledge Discovery from Data (TKDD), 2021. (CCF B, Q1)
  101. G. Xie, Z. Zhang*, G. Liu, F. Zhu, L. Liu, L. Shao, X. Li, Generalized Zero-Shot Learning with Multiple Graph Adaptive Generative Networks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. (CCF B, Q1, TOP)
  102. J. Wen, H. Sun, L. Fei, J. Li, Z. Zhang, B. Zhang, Consensus Guided Incomplete Multi-view Spectral Clustering, Neural Networks (NN), 2020. (CCF B, Q1)
  103. Y. Li, G. Lu*, J. Li, Z. Zhang*, D. Zhang, Facial Expression Recognition in the Wild Using Multi-level Features and Attention Mechanisms, IEEE Transactions on Affective Computing (TAC), DOI: 10.1109/TAFFC.2020.3031602, 2020. (CCF B, Q1, TOP)
  104. Z. Hua, Z. Zhu, S. Yi, Z. Zhang, H. Huang, Cross-plane Colour Image Encryption Using A Two-dimensional Logistic Tent Modular Map, Information Sciences (INS), 2020. (CCF B, Q1, TOP)
  105. H. Zhang, Y. Gu, Y. Yao, Z. Zhang, L. Liu, J. Zhang, L. Shao, Deep Unsupervised Self-evolutionary Hashing for Image Retrieval, IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2020.3025000, 2020. (CCF B, Q1, TOP)
  106. W. Wang, H. Zhang, Z. Zhang L. Liu, L. Shao, Sparse Graph based Self-supervised Hashing for Scalable Image Retrieval, Information Sciences (INS), DOI: 10.1016/j.ins.2020.08.092, 2020. (CCF B, Q1, TOP)
  107. H. T. Shen, X. Zhu*, Z. Zhang*, S.-H. Wang*, Y. Chen, X. Xu, J. Shao, Heterogeneous data fusion for predicting mild cognitive impairment conversion, Information Fusion (INFFUS), DOI: 10.1016/j.inffus.2020.08.023, 2020. (CCF B, Q1, TOP)
  108. Z. Zhang, L. Liu, Y. Luo, Z. Huang, F. Shen, H. T. Shen, G. Lu*, Inductive Structure Consistent Hashing via Flexible Semantic Calibration, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2020.3018790, 2020. (CCF B, Q1, TOP)
  109. J. Wen, K. Yan, Z. Zhang, Y. Xu, J. Wang, L. Fei, B. Zhang, Adaptive Graph Completion Based Incomplete Multi-view Clustering, IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2020.3013408, 2020. (CCF B, Q1, TOP)
  110. H. Cui, L. Zhu, Z. Cheng, J. Li, Z. Zhang, Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2020.3001583, 2020. (CCF B, Q1, TOP)
  111. Q. Zhu, R. Zhang, S.-J. Huang, Z. Zhang, D. Zhang, LGSLRR: Towards Fusing Discriminative Ordinal Local and Global Structured Low-Rank Representation for Image Recognition, Information Sciences (INS), 539: 522-535, 2020. (CCF B, Q1, TOP)
  112. Z. Zhang, J. Ren, H. Zhang, Z. Zhang, G. Liu, S. Yan, DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020. (CCF B, Q1)
  113. Y. Ding, W. Wong, Z. Lai, Z. Zhang, Discriminative Dual-stream Deep Hashing for Large-scale Image Retrieval, Information Processing and Management (IP&M), 57(6): 102288, 2020. (CCF B, Q1, TOP)
  114. Z. Wang¹, Z. Zhang*¹, Y. Luo, Z. Huang, H. T. Shen, Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Construction, IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2020.2995267, 2020. (CCF B, Q1, TOP)
  115. B. Chen¹, Z. Zhang¹, J. Lin, Y. Chen, G. Lu, Two-Stream Collaborative Network for Multi-label Chest X-ray Image Classification with Lung Segmentation, Pattern Recognition Letters (PRL), 135: 221-227, 2020. (CCF C, Q1)
  116. H. Zhang, L. Liu, Y. Long, Z. Zhang, L. Shao, Deep Transductive Network for Generalized Zero Shot Learning, Pattern Recognition (PR), DOI: 10.1016/j.patcog.2020.107370, 2020. (CCF B, Q1, TOP)
  117. J. Wen, Z. Zhang*, Z. Zhang, L. Fei, M. Wang, Generalized Incomplete Multi-view Clustering With Flexible Locality Structure Diffusion, IEEE Transactions on Cybernetics (TCYB), DOI: 10.1109/TCYB.2020.2987164, 2020. (CCF B, Q1, TOP)
  118. Y. Wang, H. Zhang, Z. Zhang, Y. Long, L. Shao, Learning Discriminative Domain-Invariant Prototypes for Generalized Zero Shot Learning, Knowledge-Based Systems (KBS), 196: 105796, 2020. (CCF C, Q1, TOP)
  119. Y. Lu, G. Lu, J. Li, Y. Xu, Z. Zhang, D. Zhang, Multi-Scale Conditional Regularization for Convolutional Neural Networks, IEEE Transactions on Cybernetics (TCYB), DOI: 10.1109/TCYB.2020.2979968, 2020. (CCF B, Q1, TOP)
  120. Z. Zhang, Y. Sun, Y. Wang, Z. Zhang, H. Zhang, G. Liu, M. Wang, Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2020.2979748, 2020. (CCF B, Q1, TOP)
  121. L. Liu, Z. Zhang*, Z. Huang, Flexible Discrete Multi-view Hashing with Collective Latent Feature Learning, Neural Processing Letters (NPL), DOI: 10.1007/s11063-020-10221-y, 2020. (CCF C, Q1)[code]
  122. Z. Zhang, Q. Zhu, G.-S. Xie, Y. Chen, Z. Li, S. Wang, Discriminative Margin-Sensitive Autoencoder for Collective Multi-View Disease Analysis, Neural Networks (NN), 123: 94-107, 2020. (CCF B, Q1)
  123. Q. Zhu, X. Xu, N. Yuan, Z. Zhang*, D. Guan, S.-J. Huang, D. Zhang, Latent Correlation Embedded Discriminative Multi-Modal Data Fusion, Signal Processing (SP), DOI: 10.1016/j.sigpro.2020.107466, 2020. (*Corresponding author, CCF C, Q1)
  124. Y. Sun, Z. Zhang, W. Jiang, Z. Zhang, L. Zhang, S. Yan, M. Wang, Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI:10.1109/TNNLS.2019.2954545, 2019. (CCF B, Q1, TOP)
  125. G.-S. Xie, Z. Zhang*, L. Liu, F. Zhu, X.-Y. Zhang, L. Shao, X. Li, SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), to be published, DOI: 10.1109/TNNLS.2019.2953675, 2019. (CCF B, Q1, TOP)
  126. Z. Zhang, J. Ren, W. Jiang, Z. Zhang, R. Hong, S. Yan, M. Wang, Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI:10.1109/TCSVT.2019.2923007, 2019. (CCF B, Q1, TOP)
  127. Z. Zhang, L. Liu, F. Shen, H. T. Shen and L. Shao, Binary Multi-View Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 7, 2019. (The first binary code learning method for multi-view clustering.) (CCF A, Q1, No. 1 Journal in AI, TOP)
  128. Z. Zhang, Z. Lai, Z. Huang, W. Wong, G. Xie, L. Liu, L. Shao, Scalable Supervised Asymmetric Hashing with Semantic and Latent Factor Embedding, IEEE Transactions on Image Processing (TIP), 28(10): 4803 - 4818, 2019. (CCF A, Q1, TOP)
  129. Z. Li, Z. Zhang*, J. Qin, Z. Zhang, L. Shao, Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2019.2910146, 2019. (CCF B, Q1, TOP)
  130. Z. Li, Z. Zhang, J. Qin, S. Li, H. Cai, Low-Rank Analysis-Synthesis Dictionary Learning with Adaptively Ordinal Locality Learning Systems, Neural Networks (NN), vol. 119, pp. 93-112, 2019. (CCF B, Q1)
  131. J. Wen, Z. Zhong, Z. Zhang, L. Fei, Z. Lai, R. Chen, Adaptive Locality Preserving Regression, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2018.2889727, 2019. (CCF B, Q1, TOP)
  132. Y. Ding, W. K. Wong, Z. Lai, Z. Zhang, Bilinear Supervised Hashing Based on 2D Image Features, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI:10.1109/TCSVT.2019.2891246, 2019. (CCF B, Q1, TOP)
  133. Q. Zhu, N. Xu, Z. Zhang*, D. Guan, R. Wang, D. Zhang, Cross-Spectral Palmprint Recognition with Low-Rank Canonical Correlation Analysis, Multimedia Tools and Applications (MTAP), 2019. (CCF C, Q2)
  134. Y. Wang, H. Zhang, Z. Zhang, Y. Long, Asymmetric Graph based Zero-Shot Learning, Multimedia Tools and Applications (MTAP), DOI: 10.1007/s11042-019-7689-y, 2019. (CCF C, Q2)
  135. Y. Gu, H. Zhang, Z. Zhang, Q. Ye, Unsupervised Deep Triplet Hashing with Pseudo Triplets for Scalable Image Retrieval, Multimedia Tools and Applications (MTAP), DOI: 10.1007/s11042-019-7687-0, 2019. (CCF C, Q2)
  136. Z. Zhang, L. Shao, Y. Xu, L. Liu, J. Yang, Marginal Representation Learning With Graph Structure Self-Adaptation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 29(10): 4645-4659, 2018. (CCF B, Q1, TOP)
  137. Z. Zhang, Y. Xu, L. Shao, J. Yang, Discriminative Block-Diagonal Representation Learning for Image Recognition, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 29(7): 3111-3125, 2018. (CCF B, Q1, TOP)
  138. Z. Li, Z. Zhang, Z. Fan, J. Wen, An Interactively Constrained Discriminative Dictionary Learning Algorithm for Image Classification, Engineering Applications of Artificial Intelligence (EAAI), vol. 72, pp. 241-252, 2018. (CCF C, Q1, TOP)
  139. Z. Zhang, Z. Lai, Y. Xu, L. Shao, J. Wu, G. Xie, Discriminative Elastic-Net Regularized Linear Regression, IEEE Transactions on Image Processing (TIP), 26(3): 1466-1481, 2017. (CCF A, Q1, TOP)
  140. G.-S. Xie, X.-B. Jin, Z. Zhang, Z. Liu, X. Xue, J. Pu, Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering, IEEE Access, vol. 5, 24895-24907, 2017. (Q1)
  141. Y. Xu, Z. Zhang*, G. Lu, J. Yang, Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation based Classification, Pattern Recognition (PR), 54:68-82, 2016. (Student-first author) (CCF B, Q1, TOP)
  142. Y. Xu, J. Wen, L. Fei, Z. Zhang, Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement, IEEE Access, vol. 4, 2016. (Q1)
  143. Q. Zhu, Z. Zhang*, N. Liu, H. Sun, Near infrared hand vein image acquisition and ROI extraction algorithm, Optik-International Journal for Light and Electron Optics, vol. 126, no. 24, pp. 5682-5687, 2015. (SCI)
  144. Z. Zhang, Y. Xu, J. Yang, X. Li, D. Zhang, A Survey of Sparse Representation: Algorithms and Applications, IEEE Access, vol. 3, pp. 490-530, 2015. (Q1)[Top 10 Most Popular Paper]
  145. Z. Zhang, L. Wang, Q. Zhu, Z. Liu, Y. Chen, Noise Modeling and Representation Based Classification Methods for Face Recognition, Neurocomputing (NC), 148: 420-429, 2015. (CCF C, Q1)
  146. Z. Zhang, L. Wang, Q. Zhu, S. Chen, Y. Chen, Pose-Invariant Face Recognition using Facial Landmarks and Weber Local Descriptor, Knowledge-Based Systems (KBS), 84: 78-88, 2015. (CCF C, Q1, TOP)
  147. Q. Zhu, N. Liu, Z. Zhang, B. Dai, Multi-Sample Sparse Representation for Robust Face Recognition, Journal of Computational and Theoretical Nanoscience, vol. 12, no. 11, pp. 4166-4178, 2015. (SCI)
  148. Z. Zhang, Z. Li, B. Xie, et al. Integrating Globality and Locality for Robust Representation Based Classification, Mathematical Problems in Engineering, 2014. (SCI)
  149. H Zhang, Z. Zhang, Z Li, Y Chen, J Shi, Improving representation-based classification for robust face recognition, Journal of Modern Optics, 61 (11), 961-968, 2014. (SCI)
Conference Papers:
  1. W. Meng, Y. Luo, X. Li, D. Jiang, Z. Zhang*, PolaFormer: Polarity-aware Linear Attention for Vision Transformers, in Proc. of The Thirteenth International Conference on Learning Representations (ICLR), 2025.
  2. C. Jiang, F. Zhu, X. Chen, J. Zhu, B. Zheng, Y. Wang, Z. Zhang*, DMLoRA: Dynamic Multi-Subspace Low-Rank Adaptation, in Proc. of The Web Conference (WWW), 2025. (CCF A)
  3. Z. Bian, C. Jiang, F. Zhu, Z. Zhang*, Selective Multi-grained Alignment for Text-Video Retrieval, in Proc. of The Web Conference (WWW), 2025. (CCF A)
  4. X. Guan, Z. Zhang, Y. Wang, Y. Zhang, D. Jiang, Y. Zhang, Correlated Multiple IHC Virtual Staining for Breast Histopathological Images, in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF B)
  5. W. Li, Z. Zhang*, X. Lan, D. Jiang, Transferable Adversarial Face Attack with Text Controlled Attribute, in Proc. of The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
  6. X. Guan, Y. Wang, Y. Zhang, Z. Zhang*, Y. Zhang, OT-StainNet: Optimal Transport-Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer, in Proc. of The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
  7. H. Luo, Z. Zhang*, Y. Luo, Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels, in Proc. of The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF A)
  8. B. Chen, R. Liu, Y. Liu, X. Fang, J. Pan, G. Lu, Z. Zhang, Stay Focused is All You Need for Adversarial Robustness, in Proc. of The ACM International Conference on Multimedia (ACMM), 2024. (CCF A)
  9. J. Zhu, Y. Liu, H. Zhu, H. Lin, Y. Jiang, Z. Zhang, B. Chen, Combating Visual Question Answering Hallucinations via Robust Multi-Space Co-Debias Learning, in Proc. of The ACM International Conference on Multimedia (ACMM), 2024. (CCF A)
  10. Y. Liu, Z. Wu, B. Chen, Z. Zhang, G. Lu, Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning, in Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024. (CCF B)
  11. Y. Liu, J. Wen, C. Liu, X. Fang, Z. Li, Y. Xu, Z. Zhang*, Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition, in Proc. of The Forty-first International Conference on Machine Learning (ICML), 2024. (CCF A)
  12. B. Chen, Z. Wu, Y. Liu, B. Zeng, G. Lu, Z. Zhang, Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing, in Proc. of The International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A)
  13. J. Xu, Y. Ren, X. Wang, L. Feng, Z. Zhang, G. Niu, X. Zhu, Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios, in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A)
  14. Y. Mo, F. Nie, P. Hu, H. T. Shen, Z. Zhang*, X. Wang, X. Zhu, Self-supervised Heterogeneous Graph Learning: a Homogeneity and Heterogeneity Perspective, in Proc. of The Twelfth International Conference on Learning Representations (ICLR), 2024.
  15. B. Chen, S. Fu, Y. Liu, J. Pan, G. Lu, Z. Zhang*, CariesXrays: Enhancing Caries Detection in Hospital-scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning, in Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF A)
  16. B. Chen, H. Zhou, Y. Liu, B. Zeng, G. Lu, Z. Zhang*, Decoupled Self-adaptive Distribution Regularization for Few-shot Image Classification, in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, 14~19 April 2024. (CCF B)
  17. B. Chen, S. Lin, Z. Zhang, G. Lu, L. He, Y. Liu, Rethinking Adversarial Robustness Distillation Via Strength-Dependent Adaptive Regularization, in Proc. of IEEE International Conference on Multimedia & Expo, 2024. (CCF B)
  18. Y. Liu, Q. Wu, Z. Zhang*, J. Zhang, G. Lu, Multi-Granularity Interactive Transformer Hashing for Cross-modal Retrieval, in Proc. of The 31st ACM International Conference on Multimedia (ACMM), 2023. (CCF A)
  19. Z. Zhang*, S. Chen, M. Hou, G. Lu, Multimodal Emotion Interaction and Visualization Platform, in Proc. of The 31st ACM International Conference on Multimedia (ACMM), 2023. (CCF A)
  20. Y. Luo, Z. Chen, Z. Fang, Z. Zhang, Z. Huang, M. Baktashmotlagh, KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection, in Proc. of International Conference on Computer Vision (ICCV), 2023. (CCF A)
  21. B. Chen, Z. Ye, Y. Liu, Z. Zhang*, J. Pan, B. Zeng, G. Lu, Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning, in Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. (CCF B)
  22. W.-J. He, Z. Zhang*, Adaptive Topological Graph Learning for Generalized Multi-View Clustering, International Joint Conference on Neural Networks (IJCNN), 2023. (CCF C)
  23. L. Li, H. Cong, G. Zhao, J. Peng, Z. Zhang, J. Li, Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. (CCF B)
  24. X. Wei, H. Cong, Z. Zhang, J. Peng, G. Chen, J. Li, Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. (CCF B)
  25. Y. Zhao, J. Yu, S. Liao, Z. Zhang, H. Zhang, From Sparse to Dense: Semantic Graph Evolutionary Hashing for Unsupervised Cross-Modal Retrieval, in Proc. of The 16th Asian Conference on Computer Vision (ACCV), 2022. (CCF C)
  26. C. Huang, C. Liu, Z. Zhang*, Z. Wu, J. Wen, Q. Jiang, Y. Xu, Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer, in Proc. of The 30th ACM International Conference on Multimedia (ACMM), 2022. (CCF A)
  27. C. Huang, Y. Liu, Z. Zhang*, C. Liu, J. Wen, Y. Xu, Y. Wang, Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection, in Proc. of The 30th ACM International Conference on Multimedia (ACMM), 2022. (CCF A)
  28. H. Cui, L. Zhu, J. Li, Z. Zhang, W. Guan. Webly Adaptive Image Hashing via Lightweight Semantic Transfer Network, in Proc. of The 30th ACM International Conference on Multimedia (ACMM), 2022. (CCF A)
  29. B. Xu, H. Ye, Z. Zhang, D. Zhang, Q. Zhu, Dictionary-Induced Manifold Learning for Incomplete Multi-Modal Fusion, in Proc. of The APWeb-WAIM Joint International Conference on Web and Big Data (APWeb-WAIM), 2022. (CCF C)
  30. J. An, Y. Li, Z. Zhang, G. Lu, High-order Correlation Embedding for Large-scale Multi-modal Hashing, in Proc. of The APWeb-WAIM Joint International Conference on Web and Big Data (APWeb-WAIM), 2022. (CCF C)
  31. C. Li, D. Liu, H. Li, Z. Zhang, G. Lu, X. Chang, W. Cai, Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling, in Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022. (CCF B)
  32. M. Hou, Z. Zhang*, G. Lu, Multi-modal Emotion Recognition with Self-guided Modality Calibration, in Proc. of The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022. (CCF B)
  33. C. Zhu, W. He, Z. Zhang*, Deep Factorized Multi-view Hashing for Image Retrieval, in Proc. of EAI International Conference on Multimedia Technology and Enhanced Learning (ICMTEL), 2022. [Best Paper Award]
  34. Z. Zhang*, J. Wang, G. Lu, Towards Discriminative Visual Search via Semantically Cycle-consistent Hashing Networks, in Proc. of ACM International Conference on Multimedia in Asia (MMAsia), 2021. (CCF C)
  35. S. Zhao, B. Chen, Z. Zhang*, G. Lu, An Embarrassingly Simple Approach to Discrete Supervised Hashing, in Proc. of ACM International Conference on Multimedia in Asia (MMAsia), 2021. (CCF C)
  36. J. Wen, Z. Wu, Z. Zhang*, L. Fei, B. Zhang, Y. Xu, Structural Deep Incomplete Multi-view Clustering Network, in Proc. of The Conference on Information and Knowledge Management (CIKM), 2021. (CCF B)
  37. Z. Chen, Y. Luo, R. Qiu, S. Wang, Z. Huang, J. Li, Z. Zhang, Semantics Disentangling for Generalized Zero-Shot Learning, in Proc. of International Conference on Computer Vision (ICCV), 2021. (CCF A)
  38. Y. Chen, S. Wang, J. Lu, Z. Chen, Z. Zhang*, Z. Huang, Local Graph Convolutional Networks for Cross-Modal Hashing, in Proc. of The 29th ACM International Conference on Multimedia (ACMM), 2021. (CCF A)
  39. Y. Li, Y. Gao, B. Chen, Z. Zhang*, L. Zhu, G. Lu*, JDMAN: Joint Discriminative and Mutual Adaptation Networks for Cross-Domain Facial Expression Recognition, in Proc. of The 29th ACM International Conference on Multimedia (ACMM), 2021. (CCF A)
  40. Z. Huan, Z. Zhang, Y. Wang, Z. Zhang, M. Xu, Y. Yang, M. Wang, GCM-Net: Towards Effective Global Context Modeling for Image Inpainting, in Proc. of The 29th ACM International Conference on Multimedia (ACMM), 2021. (CCF A)
  41. M. Wang, S. Wang, H. Yang, Z. Zhang, X. Chen, G. Qi, Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective, in Proc. of The 29th ACM International Conference on Multimedia (ACMM), 2021. (CCF A)
  42. H. Cui, L. Zhu, J. Li, Z. Cheng, Z. Zhang, Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval, in Proc. of The 29th ACM International Conference on Multimedia (ACMM), 2021. (CCF A)
  43. X. Wang, Z. Zhang*, G. Lu, Y. Xu, Targeted Attack and Defense for Deep Hashing, in Proc. of The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)
  44. X. Wang, Z. Zhang*, B. Wu, F. Shen, G. Lu, Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing, in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (CCF A)
  45. Q. Cao, M. Hou, B. Chen, Z. Zhang*, G. Lu, Hierarchical Network based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition, in Proc. of the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021. (CCF B)
  46. Z. Chen, Z. Huang, J. Li, Z. Zhang, Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning, in Proc. of The 32nd edition of the Australasian Database Conference (ADC), 2021.
  47. J. Wen#, Z. Zhang¹*, Z. Zhang, L. Zhu, L. Fei, B. Zhang, Y. Xu, Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring, in Proc. of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A) [Acceptance Rate: 21%]
  48. Y. Zhang, Z. Zhang, Y. Wang, Z. Zhang*, L. Zhang, S. Yan, M. Wang, Partial-Label and Structure-constrained Deep Coupled Factorization Network, in Proc. of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A) [Acceptance Rate: 21%]
  49. Z. Zhang, Y. Sun, Y. Wang*, Z. Zhang*, L. Wu*, M. Wang, MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections, in Proc. of the 20th IEEE International Conference on Data Mining (ICDM), 2020. (CCF B, Acceptance Rate: 9.8%)
  50. Y. Luo, Z. Huang, Z. Wang, Z. Zhang, M. Baktashmotlagh, Adversarial Bipartite Graph Learning for Video Domain Adaptation, in Proc. of The 28th ACM International Conference on Multimedia (ACMM), 2020. (CCF A)[Acceptance Rate: 27.8%]
  51. J. Wen#, Z. Zhang¹, Z. Zhang, Z. Wu, L. Fei, Y. Xu, B. Zhang*, DIMC-net: Deep Incomplete Multi-view Clustering Network, in Proc. of The 28th ACM International Conference on Multimedia (ACMM), 2020. (CCF A)[Acceptance Rate: 27.8%]
  52. X. Du, C. Pun*, Z. Zhang, A Unified Framework for Detecting Audio Adversarial Examples, in Proc. of The 28th ACM International Conference on Multimedia (ACMM), 2020. (CCF A)[Acceptance Rate: 27.8%]
  53. G. Xie, L. Liu, F. Zhu, F. Zhao, Z. Zhang*, Y. Yao, J. Qin, L. Shao, Region Graph Embedding Network for Zero-Shot Learning, in Proc. of The 16th European Conference on Computer Vision (ECCV), 2020. (*Corresponding Author, CCF B) [Spotlight, Acceptance Rate: 5%]
  54. J. Wen#, Z. Zhang¹, Y. Xu, B. Zhang, L. Fei, G.-S. Xie, CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network, in Proc. of The International Joint Conference on Artificial Intelligence--Pacific Rim International Conference on Artificial Intelligence (IJCAI), 2020. (CCF A)[Acceptance Rate: 12.6%]
  55. Z. Zhang, J. Ren, Z. Zhang*, G. Liu, Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery, in Proc. of The International Joint Conference on Artificial Intelligence--Pacific Rim International Conference on Artificial Intelligence (IJCAI), 2020. (*Corresponding author, CCF A)[Acceptance Rate: 12.6%]
  56. P. Zhang, Z. Huang, Z. Zhang, Semantics-reconstructing Hashing for Cross-modal Retrieval, in Proc. of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, 2020. (CCF C, Acceptance Rate: ~21%)
  57. Z. Zhang, Z. Tang, Z. Zhang, Y. Wang, J. Qin, M. Wang, Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition, in Proc. of the 24th European Conference on Artificial Intelligence (ECAI), 2020. (CCF B)
  58. Y. Zhang, Z. Zhang, Z. Zhang, M. Zhao, L. Zhang, Z. Zha, M. Wang, Deep Self-representative Concept Factorization Network for Representation Learning, in Proc. of the SIAM International Conference on Data Mining (SDM), 2020. (CCF B, Acceptance Rate: ~24%)
  59. Y. Luo, Z. Huang, Z. Zhang*, Z. Wang, M. Baktashmotlagh, Y. Yang, Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks, in Proc. of The Thirty-Four AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. (CCF A) [Acceptance Rate: 20.6%].
  60. C. Zhang, Y. Yao, H. Liu, G. Xie, X. Shu, T. Zhou, Z. Zhang, F. Shen, Z. Tang, Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification, in Proc. of The Thirty-Four AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. (CCF A) [Acceptance Rate: 20.6%].
  61. Z. Hu, X. Zou, W. Xia, S. Jin, D. Tao, Y. Liu, W. Zhang, Z. Zhang, Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity, in Proc. of the 49th International Conference on Parallel Processing (ICPP), 2020. (CCF B)
  62. Z. Zhang, Y. Sun, Z. Zhang, Y. Wang, G. Liu, M. Wang, Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification, in Proc. of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 2019. (CCF B, Acceptance Rate: 9.08%)
  63. Z. Zhang, L. Wang, Y. Wang, S. Li, Z. Zhang, Z. Zha, M. Wang, Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery, in Proc. of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 2019. (CCF B, Acceptance Rate: 9.08%)
  64. Y. Luo, Z. Huang, Z. Zhang*, Z. Wang, J. Li, Y. Yang, Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation, in Proc. of the 27th ACM International Conference on Multimedia (ACMM), Nice, France, 2019. (CCF A)
  65. Z. Zhang, G. Xie, Y. Li, S. Li, Z. Huang, SADIH: Semantic-Aware DIscrete Hashing, in Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, 2019. (CCF A) [Acceptance Rate: 16.2%]
  66. J. Wen, Z. Zhang¹, Y. Xu, B. Zhang, L. Fei, H. Liu, Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering, in Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, 2019. (CCF A) [Acceptance Rate: 16.2%]
  67. Z. Wang, Z. Zhang*¹, Y. Luo, Z. Huang, Deep Collaborative Discrete Hashing with Semantic-Invariant Structure, in Proc. of The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 2019. (CCF A)
  68. Z. Zhang, W. Jiang, Z. Zhang, S. Li, G. Liu, J. Qin, Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning, in Proc. of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 2019. (CCF A)
  69. G. Xie, L. Liu, X. Jin, F. Zhu, Z. Zhang, J. Qin, Y. Yao, L. Shao, Attentive Region Embedding Network for Zero-shot Learning, in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019. (CCF A)
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  71. Y. Tong, Y. Luo, Z. Zhang, S. Sadiq and P. Cui, Collaborative Generative Adversarial Network for Recommendation Systems, in Proc. of IEEE International Conference on Data Engineering (ICDE) Workshops, 2019.
  72. Z. Zhang, L. Liu, J. Qin, F. Zhu, F. Shen, Y. Xu, L. Shao, H. T. Shen, Highly-Economized Multi-View Binary Compression for Scalable Image Clustering, in Proc. of The European Conference on Computer Vision (ECCV), Munich, Germany, pp. 717-732, 2018. [Oral – Acceptance Rate: 2.4%] (CCF B)
  73. J. Wen#, Z. Zhang¹ (Co-First), Z. Zhong, Y. Xu, Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization, in Proc. of European Conference on Computer Vision Workshops (ECCVW), 2018.
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  75. Z. Zhang, Z. Zhong, J. Cui, L. Fei, Learning Robust Latent Subspace for Discriminative Regression, in Proc. of Visual Communications and Image Processing (VCIP), 2017 (Oral).
  76. Z. Zhong, Z. Zhang, Y. Xu, Projective Representation Learning for Discriminative Face Recognition, in Proc. of CCF Chinese Conference on Computer Vision, 2017.
  77. Z. Zhang, Y. Xu, C.L. Liu, Natural Scene Character Recognition Using Robust PCA and Sparse Representation, in Proc. of the 12th IAPR International Workshop on Document Analysis Systems (DAS), pp. 340-345, 2016.
  78. L. Fei, J. Wen, Z. Zhang, K. Yan, Z. Zhong, Local Multiple Directional Pattern of Palmprint Image Recognition, in Proc. of International Conference on Pattern Recognition (ICPR), pp. 3013-3018, 2016. (CCF C)
  79. X. Fang, Y. Xu, Z. Zhang, Z. Lai, L. Shen, Orthogonal Self-guided Similarity Preserving Projections, in Proc. of International Conference on Image Processing (ICIP 2015), September 27-30, 2015, pp. 344-348. (CCF C)
  80. B. Li, J. Zhang, Z. Zhang, Y. Xu, A People Counting Method Based on Head Detection and Tracking, in Proc. of International Conference on Smart Computing(SMARTCOMP), pp. 136-141, 2014. [Best Paper Award]
  81. K. Yan, J. Zhang, Z. Zhang, Z. He, Y. Xu, A New Fusion Algorithm based ESRC and LRC, in Proc. of International Conference on Artificial Intelligence and Software Engineering (AISE), pp. 393-399, 2014.
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