1. Educational Background (in reverse chronological order)：

• 2014-2018: Harbin Institute of Technology, Computer Science and Technology, Doctoral Degree (Full-time)

2. Work Experience (in reverse chronological order)：

• 2024-Present: Harbin Institute of Technology, Shenzhen, Professor (Early Promotion)
• 2021-2023: Harbin Institute of Technology, Shenzhen, Associate Professor (Early Promotion)
• 2019-2020: Harbin Institute of Technology, Shenzhen, Assistant Professor
• 2018-2019: The University of Queensland, Postdoctoral Research Fellow 
• 2018-2018: The Hong Kong Polytechnic University, Assistant Researcher

Zheng Zhang received the Ph.D. degree from the Harbin Institute of Technology, China. He was a Postdoctoral Research Fellow at The University of Queensland, Australia. He is currently with the Harbin Institute of Technology (Shenzhen) and Shenzhen Loop Area Institute, China. He has co-authored more than 100 technical papers in prestigious international journals and conferences. He is an Associate Editor of IEEE TIP, IEEE TIFS, IEEE TAFFC, and regularly serves as an Area Chair of ICML, NeurIPS, ICLR, CVPR, AAAI, ACM MM, etc. His research interests include Machine Learning and Multimedia.

1. Representative Publications (past 5-10 years, in order of impact)：

[1] W. Li, Z. Zhang*, D. Jiang, X. Lan, Bolster Hallucination Detection via Prompt-Guided Data Augmentation, in Proc. of The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

[2] W. He, X. Zhu, Z. Zhang*, Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition, in Proc. of The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

[3] 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.

[4] 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.

[5] Z. Bian, C. Jiang, F. Zhu, Z. Zhang*, Selective Multi-grained Alignment for Text-Video Retrieval, in Proc. of The Web Conference (WWW), 2025.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

[11] 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), vol. 112, no. 11, pp. 1716-1754, 2025.

[12] W. He, Z. Zhang*, X. Zhu, Dual Correlation Guided Anchor Learning for Scalable Incomplete Multi-view Clustering, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 36(9): 17336-17349, 2025.

[13] X. Guan, Z. Zhang, Y. Wang, Y. Li, Y. Zhang, Supervised Information Mining from Weakly Paired Images for Breast IHC Virtual Staining, IEEE Transactions on Medical Imaging (TMI), vol. 44, no. 5, pp. 2120-2130, 2025.

[14] 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 Systems (TNNLS), 2025.

[15] Z. Bian, Y. Luo, F. Zhu, X. Shu, Z. Zhang*, Dual-Attention Video Representation Learning for Parameter Efficient Text-Video Retrieval, IEEE Transactions on Multimedia (TMM), 2025.

[16] 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.

[17] 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), 36 (11): 5835-5848, 2024.

[18] H. Luo, Z. Zhang*, L. Nie, Contrastive Incomplete Cross-modal Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE), 36 (11): 5823-5834, 2024.

[19] 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.

[20] 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.

2. Books/Monographs：

[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.)

[3] Haijun Zhang, Jianghong Ma, Zheng Zhang, Data Structures and Intelligent Algorithms, Tsinghua University Press, ISBN: 978-7-302-68438-1, 2025. (Undergraduate textbook)

[4] Yongbing Zhang, Jian Zhang, Zheng Zhang, Hongpeng Wang, Computational Pathology, Tsinghua University Press ISBN: 978-7-895-11408-1, 2025. (Graduate student textbooks)

[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, Springer LNAI, vol. 12447, ISBN: 978-3-030-65389-7, 2020.

[7] Zheng Zhang, Shuihua Wang (Eds.), IoT and Big Data Technologies for Health Care, The Fifth EAI International Conference, IoTCare 2024, EAI/Springer Innovations in Communication and Computing, 2025.

[8] Zheng Zhang, Shuihua Wang (Eds.), IoT and Big Data Technologies for Health Care, The Fourth EAI International Conference, IoTCare 2023, Springer LNICST, volume 521, 2024.

[9] Shuihua Wang, Zheng Zhang, Yuan Xu (Eds.), The IoT and Big Data Technologies for Health Care, The Second EAI International Conference, IoTCARE 2021, Springer LNICS, 2021.