Zheng Zhang
Associate Professor, Ph.D. Supervisor
Big Media Intelligence (BMI) Research Group
Harbin Institute of Technology, Shenzhen, China
[Google Scholar] [Homepage in Chinese]

Area Chair: ICML/NeurIPS/CVPR/ACM MM
Associate Editor: IEEE T-AC/IEEE J-BHI/INS
Drawing

Dr. Zheng Zhang is a faculty member at School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China, and also holds an adjunct position at Peng Cheng Laboratory, Shenzhen, China. He is the deputy director of the Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China.

Openings: I am continuously looking for highly motivated Ph.D. students and postdoctoral researchers to work on machine learning, computer vision, and multimedia. Please send me your CV if interested. I can supervise Ph.D. students affiliated with the Harbin Institute of Technology as well as Peng Cheng Laboratory. You also may refer to my current research group for detailed information.

Biography

Zheng Zhang received his Ph.D. degree from the Harbin Institute of Technology (HIT), supervised by Prof. Yong Xu (Changjiang Professorship). He visited the Institute of Automation of Chinese Academy of Sciences, Beijing, advised by Prof. Cheng-Lin Liu (IEEE Fellow). After obtaining his doctoral degree, he became an Assistant Researcher at The Hong Kong Polytechnic University (PolyU), and later was a Postdoctoral Research Fellow at Data Science Group, The University of Queensland (UQ), Australia, supervised by Prof. Helen Huang. He was fortunately mentored by Prof. Heng Tao Shen (Member of Academia Europaea, ACM/IEEE Fellow) and Prof. Ling Shao (IEEE Fellow). Since 2019, he has been with School of Computer Science & Technology, Harbin Institute of Technology, Shenzhen, China.

Dr. Zhang's research interests mainly focus on multimedia content understanding, especially multimedia retrieval, multi-modal learning, and big data analysis. He has published over 100 technical papers in prestigious international journals and conference proceedings. Notably, he has been honored with paper awards from ACM Multimedia Asia'21, EAI ICMTEL'22, and SMARTCOMP'14. He is a recipient of Distinguished Ph.D. Dissertation Award of CIE, Outstanding Young Research Achievement Award of CAAI, and Excellent Young Scientists Fund of Shenzhen. His innovative multimedia systems have garnered attention from mainstream media outlets such as UN COP26, Xinhua News, etc., and have been successfully transferred to prominent companies, such as Tencent, Huawei, ICBC, SZIDC, etc. He has been featured as the 'World's Top 2% Scientists' for several consecutive years. He is an IEEE and CCF Senior Member.

Dr. Zheng Zhang serves/served as an Editorial Board Member for IEEE Trans. on Affective Computing (T-AC), IEEE Journal of Biomedical and Health Informatics (J-BHI), Information Sciences (INS), Information Fusion (INFFUS), Information Processing & Management (IP&M), Expert Systems with Applications (ESWA), among others. Additionally, he has contributed as an Area Chair or Senior PC for numerous top conferences, such as ICML, NeurIPS, CVPR, ACM MM, AAAI, IJCAI, etc. He has also demonstrated proficiency in organizing international conferences, such as ADMA 2021 and 2023, ACM Multimedia Asia 2021, along with several other notable events.

Research Interests


Selected Publications

More than 100 highly-influenced articles published in ACM/IEEE Transactions and CCF A TOP-ranked venues, including IEEE TPAMI (IF: 23.6), IJCV (IF: 19.5), IEEE TNNLS (IF: 10.4), IEEE TIP (IF: 10.6), IEEE TKDE (IF: 8.9), ACM TOIS (IF: 5.6), IEEE TCYB (IF: 11.8), IEEE TSMCA (IF: 8.7), IEEE TFS (IF: 11.9), IEEE TASLP (IF: 5.4), IEEE TETCI (IF: 5.3), IEEE TAC (IF: 11.2), IEEE TMM (IF: 7.3), IEEE TIFS (IF: 6.8), ACM TKDD (IF: 3.6), ACM TOMM (IF: 5.1), IEEE TCSVT (IF: 8.4), IEEE TBD (IF: 7.2), IEEE TIM (IF: 5.6), PR (IF: 8.0), Information Fusion (IF: 18.6), ICML, ICLR, CVPR, ICCV, ECCV, SIGIR, AAAI, IJCAI, ACMM, MICCAI, 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. 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.
  4. 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.
  5. 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 (Selected):
  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. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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), DOI: 10.1109/TNNLS.2023.3286430, 2023. [Link]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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), DOI: 10.1109/TCYB.2023.3263175, 2023. [Link]
  38. 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), xxx: xxx-xxx, 2024. [Link]
  39. 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]
  40. 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]
  41. 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]
  42. 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]
  43. 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]
  44. 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]
  45. 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. [Link][Code]
  46. 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]
  47. 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]
  48. 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]
  49. 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]
  50. 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]
  51. 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]
  52. 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]
  53. 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]
  54. 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]
  55. 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]
  56. 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]
  57. 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]
  58. 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)
  59. 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]
  60. 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]
  61. 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]
  62. 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]
  63. 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]
  64. 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. [Link][Code]
  65. 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), vol. 34, no. 3, pp. 1941-1953, 2024. [Link][Code]
  66. 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), vol. 33, no. 9, pp. 5318-5329, 2023. [Link][Code]
  67. 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), vol. 32, no. 5, pp. 3178-3189, 2022. [Link]
  68. 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), vol. 32, no. 5, pp. 3190-3202, 2022. [Link]
  69. 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]
  70. 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), vol. 33, no. 3, pp. 1181-1197, 2023. [Link]
  71. 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), vol.33, no. 10, pp. 6159-6172, 2023. [Link][Code]
  72. 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), vol. 32, no. 9, pp. 6472-6485, 2022. [Link]
  73. 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]
  74. 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]
  75. 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]
  76. 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), DOI: 10.1109/TCSVT.2024.3374791, 2024. [Link][Code]
  77. 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]
  78. 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]
  79. B. Chen, X. Huang, Y. Liu, Z. Zhang, G. Lu, J. Pan, D. Zhang, Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation, IEEE Transactions on Instrumentation & Measurement (TIM), vol. xx, pp. xx, 2024. [Link]
  80. 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)
  81. 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]
  82. 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]
  83. 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 (Selected):
  1. 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)
  2. 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) [Link][Code]
  3. 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]
  4. 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)
  5. 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 The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF A) [Link][Code]
  6. Y. Liu, Z. Wu, B. Chen, G. Lu, Z. Zhang, 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.
  7. 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) [Link]
  8. 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, Oral) [Link][Code]
  9. 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) [Link][Code]
  10. 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. (Top Conference in Medical Imaging) [Link][Code]
  11. 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), pp. 521–530, 2022. (CCF A)
  12. H. Cui, L. Zhu, J. Li, Z. Zhang, W. Guan, Webly Supervised Image Hashing with Lightweight Semantic Transfer Network, in Proc. of The 30th ACM International Conference on Multimedia (ACMM), pp. 3451–3460, 2022. (CCF A)
  13. 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), pp. 307–315, 2022. (CCF A)
  14. 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), pp. 715–724, 2022. (Top Conference in Medical Imaging)
  15. 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), pp. 628–643, 2022. (Best Paper Award) [Code]
  16. Z. Zhang, J. Wang, G. Lu, Towards Discriminative Visual Search via Semantically Cycle-consistent Hashing Networks, in Proc. of The ACM Multimedia Asia, no. 3, pp. 1-7, 2021. (Honourable Mention Award) [Link][Code]
  17. 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), pp. 2298-2302, 2021. (CCF A) [Link][Code]
  18. 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), pp. 16357-16366, 2021. (CCF A) [Link][Code]
  19. 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), pp. 8712-8720, 2021. (CCF A) [Acceptance Rate: 25.9%]
  20. 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), pp. 1921–1928, 2021. (CCF A)
  21. 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), pp. 3312–3320, 2021. (CCF A)
  22. 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), pp. 2586–2594, 2021. (Oral, CCF A) [Code]
  23. 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), pp. 2735–2743, 2021. (Oral, CCF A)
  24. 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), pp. 1432–1440, 2021. (CCF A)
  25. J. Wen, Z. Zhang, 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), 35(11), pp. 10273-10281, 2021. (CCF A) [Acceptance Rate: 21%][Code]
  26. 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), pp. 10948-10955, 2021. (CCF A) [Acceptance Rate: 21%]
  27. 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), pp. 19-27, 2020. (oral, CCF A)[Code]
  28. J. Wen, Z. Zhang, 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), pp. 3753–3761, 2020. (CCF A)
  29. 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), pp. 3986–3994, 2020. (CCF A)[Acceptance Rate: 27.8%]
  30. 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), pp. 562–580, 2020. (CCF B, TOP Conference in Computer Vision) [Spotlight, Acceptance Rate: 5%]
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  33. 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, pp. 5021-5028, 2020. (CCF A) [Acceptance Rate: 20.6%]. [Link][Code]
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  35. 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, pp. 2341-2350, 2019. (CCF A) [Link]
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