教育经历（按时间倒序）：

• 2014-2018：哈尔滨工业大学 计算机科学与技术 博士学位（全日制）

工作经历（按时间倒序）：

• 2024-至今：哈尔滨工业大学大学（深圳） 教授（破格）
• 2021-2023：哈尔滨工业大学大学（深圳） 副教授（破格）
• 2019-2020：哈尔滨工业大学大学（深圳） 助理教授
• 2018-2019：昆士兰大学 博士后研究员
• 2018-2018：香港理工大学 助理研究员

张正，深圳河套学院双聘教授，哈尔滨工业大学 (深圳)长聘教授，国家级青年人才，广东省珠江学者。长期从事高效能多模态大模型的研究，出版中英文学术专著/编著6部，发表IEEE/ACM汇刊和CCF A类期刊/会议论文100余篇，谷歌引用1.3万余次。主持国家级和省部级自然科学基金、深圳市科技创新基金以及阿里巴巴创新研究计划、华为合作基金等科研项目10余项。受邀担任IEEE TIP、IEEE TIFS、IEEE TAFFC等期刊编委，常年受邀担任ICML、NeurIPS、ICLR、CVPR、AAAI、ACM MM 等A类顶级学术会议领域主席。

l 代表性论文（近5-10年，按影响力排序）：

[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. 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), 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.

l 著作/编著：

[1] Zheng Zhang, Binary Representation Learning on Visual Images, ISBN: 978-981-97-2111-5, Springer Nature, 2024.

[2] 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, ISBN: 978-7-302-68438-1, 2025. (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, ISBN: 978-7-895-11408-1, 2025. (研究生教材)

[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.

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.