GREETINGS! WELCOME TO MY HOMEPAGE!

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

Selected Publications

Homepage

Journal Summary: 82 IEEE/ACM Transactions and IJCV papers, including IEEE TPAMI, IJCV, IEEE TNNLS (x12), IEEE TIP (x10), IEEE TKDE (x5), ACM TOIS (x2), IEEE TIFS (x3), IEEE TCYB (x5), IEEE TFS, IEEE TSMCA (x2), IEEE TASLP (x2), IEEE TETCI (x3), IEEE TAC (x2), IEEE TMM (x7), ACM TKDD (x2), ACM TOMM (x5), IEEE TCSVT (x14), IEEE TBD, IEEE TIM (x3), IEEE/ACM TCBB, etc.
Conference Summary: 36 CCF A & 2 ECCV & 3 MICCAI papers, particularly ICML, NeurIPS, ICLR, CVPR (x3), ICCV (x2), ECCV (x2), SIGIR (x2), AAAI (x7), IJCAI (x4), ACM MM (x16), MICCAI (x3), etc.

Books:
  1. Zheng Zhang, Binary Representation Learning on Visual Images, ISBN: 978-981-97-2111-5, Springer Nature, 2024.
  2. Zheng Zhang, Yong Xu, Guangming Lu, Structural Representation Learning for Data Analysis, Posts & Telecom Press, China, ISBN：978-7-115-58401-4, 2022. (Sponsored by the National Publishing Foundation of China, 2022.)
    张正, 徐勇, 卢光明, 数据分析的结构化表征学习, 人民邮电出版社, ISBN: 978-7-115-58401-4, 2022. (国家出版基金项目和“十四五”时期国家重点出版物出版专项规划项目联合支持)
  3. 张海军, 马江虹, 张正, 数据结构与智能算法, 清华大学出版社, 2024. (本科生教材)
  4. 张永兵, 张健, 张正, 王鸿鹏, 计算病理学, 清华大学出版社, 2024.
  5. Lei Zhu, Jingjing Li, Zheng Zhang, Dynamic Graph Learning for Dimension Reduction and Data Clustering, Synthesis Lectures on Computer Science (SLCS), ISBN: 978-3-031-42312-3, Springer Nature, 2023.
  6. Xiaochun Yang, Chang-Dong Wang, Saiful Islam, Zheng Zhang (Eds.), The 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, Foshan, China, Nov. 12-14 2020, Springer LNAI, vol. 12447, ISBN: 978-3-030-65389-7, 2020.
  7. Shuihua Wang, Zheng Zhang, Yuan Xu (Eds.), The IoT and Big Data Technologies for Health Care, The second EAI International Conference, IoTCARE 2021, October 18-19, 2021, Springer LNICS, Social Informatics and Telecommunications Engineering, 2021.

Journal paper:
  1. Z. Zhang, L. Liu, F. Shen, H. T. Shen, L. Shao, Binary Multi-View Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(7):1774-1782, 2019. (The first binary code learning method for multi-modal learning.) (CCF A, No. 1 Journal in AI) [Paper][Link][Code]
  2. 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), 129: 3233–3254, 2021. (CCF A) [Link]
  3. Z. Zhang✉, X. Yuan, L. Zhu, J. Song, L. Nie, BadCM: Invisible Backdoor Attack against Cross-Modal Learning, IEEE Transactions on Image Processing (TIP), 33: 2558-2571, 2024. (CCF A)[Link][Code]
  4. 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)[Link][Code]
  5. 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) [Link][Code][Supplementary]
  6. 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), 32: 5438-5450, 2023. (CCF A) [Link]
  7. G. Xie, X.-Y. Zhang, Y. Yao, Z. Zhang, F. Zhao, L. Shao, VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning, IEEE Transactions on Image Processing (TIP), 30: 4316-4329, 2021. (CCF A) [Link]
  8. 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), 31: 5343-5358, 2022. (CCF A) [Link]
  9. G. Dong, C.-M. Pun, Z. Zhang, Kinship Verification Based on Cross-Generation Feature Interaction Learning, IEEE Transactions on Image Processing (TIP), 30: 7391-7403, 2021. (CCF A) [Link]
  10. 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), 32: 4800-4811, 2023. (CCF A) [Link]
  11. 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), 31: 5881-5892, 2022. (CCF A) [Link][Code]
  12. D. Shi, L. Zhu, J. Li, Z. Zhang, X. Chang, Unsupervised Adaptive Feature Selection with Binary Hashing, IEEE Transactions on Image Processing (TIP), vol. 32, pp. 838-853, 2023. (CCF A) [Link][Code]
  13. 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), 18: 4681-4694, 2023. (CCF A) [Link][Code]
  14. 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), 18: 4944-4954, 2023. (CCF A) [Link]
  15. G. Dong, C.-M. Pun, Z. Zhang, Deep Collaborative Multi-modal Learning for Unsupervised Kinship Estimation, IEEE Transactions on Information Forensics and Security (TIFS), 16: 4197-4210, 2021. (CCF A) [Link]
  16. 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), vol. 35, no. 5, pp. 5091-5104, 2023. (CCF A) [Link][Code]
  17. H. Luo, Z. Zhang✉, L. Nie, Contrastive Incomplete Cross-modal Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2024.3410388, 2024. (CCF A) [Link][Code]
  18. 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), DOI: 10.1109/TKDE.2024.3419577, 2024. (CCF A) [Link][Code]
  19. 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), vol. 35, no.9, pp. 8838-8851, 2023. (CCF A) [Link][Code]
  20. 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), vol. 35, no. 1, pp. 741-755, 2023. (CCF A) [Link][Code]
  21. 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), 42(4): 1–27, 2024. (CCF A) [Link][Code]
  22. L. Zhu, T. Wang, 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), 41(3): 1–25, 2023. (CCF A) [Link][Code]
  23. 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), vol. 35, no. 11, pp. 15332-15345, 2024. [Link]
  24. 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), vol. 32, no. 10, pp. 4514-4528, 2021. [Link]
  25. 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), vol. 33, no. 7, pp. 2903-2915, 2022. [Link]
  26. 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), 31(3): 786-800, 2020. [Link][Code]
  27. G. 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), 31(10): 4290-4302, 2020. [Link]
  28. 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), vol. 34, no. 1, pp. 64-78, 2023. [Link][Code]
  29. G. Xie, T. Xiang, F. Zhao, X. 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), vol. 34, no. 11, pp. 9575-9582, 2023. [Link]
  30. 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), vol. 35, no. 2, pp. 1797-1809, 2024. [Link][Supplementary][Code]
  31. 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), 31(10): 4303-4317, 2020. [Link][Code]
  32. 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), 32(3): 947-961, 2021. [Link][Code]
  33. 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. [Link][Code]
  34. 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. [Link][Code]
  35. J. Wen, Z. Zhang✉, Z. Zhang, L. Fei, M. Wang, Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion, IEEE Transactions on Cybernetics (TCYB), 51(1): 101-114, 2021. [Link][Code]
  36. Y. Lu, G. Lu, J. Li, Y. Xu, Z. Zhang, D. Zhang, Multiscale Conditional Regularization for Convolutional Neural Networks, IEEE Transactions on Cybernetics (TCYB), 52(1): 444 - 458, 2022. [Link]
  37. Y. Lu, Z. Zhang✉, G. Lu, Y. Zhou, J. Li, D. Zhang, Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks, IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 10, pp. 10827-10842, 2022. [Link]
  38. D. Shi, L. Zhu, J. Li, Z. Cheng, Z. Zhang, Flexible Multi-view Spectral Clustering with Self-adaptation, IEEE Transactions on Cybernetics (TCYB), vol. 53, no. 4, pp. 2586-2599, 2023. [Link][Code]
  39. 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), vol. 54, no. 6, pp. 3777-3790, 2024. [Link]
  40. 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), vol. 32, no. 10, pp. 5413-5427, 2024. [Link]
  41. J. Wen✟, Z. Zhang✟, L. Fei, B. Zhang, Y. Xu, Z. Zhang, J. Li, A Survey on Incomplete Multiview Clustering, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCA), vol. 53, no. 2, pp. 1136-1149, 2023. [Link][Suppl Doc][Code]
  42. B. Chen, Z. Zhang✉, Y. Lu, F. Chen, G. Lu, D. Zhang, Semantic-Interactive Graph Convolutional Network for Multilabel Image Recognition, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCA), vol. 52, no. 8, pp. 4887-4899, 2022. [Link]
  43. 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), vol. 15, no. 3, pp. 37, 2021. [Link][Code]
  44. 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), vol. 17, no. 8, pp. 1–17, 2023. [Link][Code]
  45. 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), 30: 218–229, 2022. [Link]
  46. 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), 29: 3592-3603, 2021. [Link]
  47. Q. Zhu, H. Zheng, Z. Zhang✉, W. Shao, D. Zhang, Dynamic Confidence-Aware Multi-Modal Emotion Recognition, IEEE Transactions on Affective Computing (TAC), vol. 15, no. 3, pp. 1358-1370, 2024. [Link][Code]
  48. 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), vol. 14, no. 1, pp. 451-462, 2023. [Link]
  49. 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), vol. 24, pp. 3392-3404, 2022. [Link][Code]
  50. T. Chen, S.-H. Wang, Q. Wang, Z. Zhang✉, G.-S. Xie✉, Z. Tang, Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation, IEEE Transactions on Multimedia (TMM), 24: 1042-1054, 2022. [Link]
  51. Z. Wang✟, Z. Zhang✟✉, Y. Luo, Z. Huang, H. T. Shen, Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Construction, IEEE Transactions on Multimedia (TMM), 23: 1274-1286, 2021. [Link][Code]
  52. 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), 25: 1359-1373, 2023. [Link]
  53. 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), 23: 2493-2504, 2021. [Link][Code]
  54. 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), vol. 23, pp. 3400-3413, 2021. [Link]
  55. W. Tan, L. Zhu, J. Li, Z. Zhang, H. Zhang, Partial Multi-Modal Hashing via Neighbor-aware Completion Learning, IEEE Transactions on Multimedia (TMM), vol. 25, pp. 8499-8510, 2023. [Link][Code]
  56. 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), 18(2s): 1-21, 2022. [Link][Code]
  57. 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), 17(5):1–24, 2021. [Link]
  58. 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), 17(3s): 1–16, 2021. [Link]
  59. 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), 17(3s): 1–22, 2021. [Link]
  60. 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), x, 2024.
  61. 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), vol. 8, no. 1, pp. 55-68, 2024. [Paper][Link][Code] (Top 3 Most Popular Paper, Jan. 2024-now)
  62. 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), vol. 7, no. 2, pp. 436-446, 2023. [Link]
  63. 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), vol. 7, no. 1, pp. 15-25, 2023. [Link]
  64. 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. [Link][Code][Slides]
  65. Z. Zhang✉, J. Wang, L. Zhu, Y. Luo, G. Lu, Deep Collaborative Graph Hashing for Discriminative Image Retrieval, Pattern Recognition (PR), vol. 139, no. 109462, 2023. [Link][Code]
  66. 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. [Link][Code]
  67. 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), 34(8): 7190-7201, 2024. [Link][Code]
  68. 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), 34(3): 1941-1953, 2024. [Link][Code]
  69. 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), 33(9): 5318-5329, 2023. [Link][Code]
  70. 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), 32(5): 3178-3189, 2022. [Link]
  71. 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), 32(5): 3190-3202, 2022. [Link]
  72. 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), 32(4): 2455-2468, 2022. [Link]
  73. G. 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), 33(3): 1181-1197, 2023. [Link]
  74. 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), 33(10): 6159-6172, 2023. [Link][Code]
  75. 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), 32(9): 6472-6485, 2022. [Link]
  76. 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), 30(1): 75-88, 2020. [Link][Code]
  77. 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), 30(2): 590-602, 2020. [Link]
  78. 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), 30(8): 2430-2446, 2020. [Link]
  79. 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), 34(10): 9664-9677, 2024. [Link][Code]
  80. 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), 31(4): 1478-1489, 2021. [Link][Code]
  81. 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), vol. 9, no. 5, pp. 1334-1346, 2023. [Link][Code]
  82. 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), DOI: 10.1109/TCBB.2024.3487574, 2024.
  83. 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), vol. 73, pp. 1-13, 2024. [Link]
  84. 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), vol. 71, pp. 1-15, 2022. [Link][Code] (Top 3 Most Popular Paper, Jul. 2022-now)
  85. 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), vol. 73, pp. 1-12, 2024. [Link][Code]
  86. 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 (JBHI), vol. 26, no. 11, pp. 5287-5288, 2022. [Link]
  87. Z. Zhang✉, W.-J. He, Tensorized Topological Graph Learning for Generalized Incomplete Multi-view Clustering, Information Fusion (INFFUS), 100: 101914, 2023. [Link][Code]

Conference paper:
  1. 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) [Link][Code]
  2. 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) [Link][Code]
  3. 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A) [Link][Code]
  4. 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. [Link][Code]
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