个人简介：
吴汉舟，博士，上海大学副教授，CCF-腾讯犀牛鸟基金获得者，上海市晨光学者。主要从事多媒体与人工智能安全研究工作，发表学术论文100余篇，撰写4个英文章节，谷歌学术引用累计2500余次，单篇引用最高800余次，部分研究成果得到本领域国际知名学者的正面评价和引述，被编入中英文专著、入选高被引论文、热点论文或所在期刊近五年h指数TOP 50名单。曾获全国信息隐藏暨多媒体安全大会优秀论文奖、中国媒体取证与安全大会最佳报告奖和优秀论文奖。曾担任国际会议IEEE WIFS’22大会组织主席、MMEDIA’22/23/24/25指导委员会成员和其他专业会议的技术委员会成员。作为项目负责人、课题负责人以及合作单位负责人身份承担了多项国家级及省部级科研项目，包括国家自然科学基金重点项目、中央引导地方项目和省部级基础研究计划重点项目等。
联系方式：
电子邮件：hanzhou@shu.edu.cn
研究兴趣：
人工智能安全、数字水印、信息隐藏、信息取证、自然语言处理等。
工作经历：
2021—至今： 上海大学 副教授
2019—2021： 上海大学 讲师
2017—2019： 中科院自动化所 助研
2014—2016： 新泽西理工学院 访问学者
2007—2017： 西南交通大学 本科、博士
主要课程：
本科生：《程序设计（C语言）》（必修）、《信息网络与安全》（选修）等
研究生：《矩阵理论与方法》（必修）
科研项目：
1. 中央引导地方项目，300万，在研
2. 国家自然科学基金重点项目，256万，在研
3. 贵州省基础研究计划重点项目，30万，在研
4. 上海市自然科学基金面上项目，20万，在研
5. CCF-腾讯犀牛鸟基金，15万，已结题
6. 上海市晨光计划，6万，已结题
7. 国家自然科学基金青年项目，28万，已结题
学术论文：
1. Y Qin, N Pu, H Wu, N Sebe. Margin-aware noise-robust contrastive learning for partially view-aligned problem. ACM Transactions on Knowledge Discovery from Data, 2024.
2. J Wang, J Zhao, L Li, Z Wang, H Wu, D Wu. Robust blind video watermarking based on ring tensor and BCH coding. IEEE Internet of Things Journal, 2024.
3. D Wu, J Wang, J Zhao, L Li, Z Wang, H Wu. Adaptive robust watermarking for resisting multiple distortions in real scenes. IEEE Internet of Things Journal, 2024.
4. Y Qin, N Pu, H Wu, N Sebe. Discriminative anchor learning for efficient multi-view clustering. IEEE Transactions on Multimedia, 2024.
5. L Lin, D Wu, J Wang, Y Chen, X Zhang, H Wu. Automatic, robust and blind video watermarking resisting camera recording. IEEE Transactions on Circuits and Systems for Video Technology, 2024.
6. Y Liu, L Zhang, H Wu, Z Wang, X Zhang. Reducing high-frequency artifacts for generative model watermarking via wavelet transform. IEEE Internet of Things Journal, 2024.
7. X Zhao, H Wu, X Zhang. Effective backdoor attack on graph neural networks in spectral domain. IEEE Internet of Things Journal, 2024.
8. Y Qin, Z Tang, H Wu, G Feng. Flexible tensor learning for multi-view clustering with Markov chain. IEEE Transactions on Knowledge and Data Engineering, 2024.
9. Y Qin, N Pu, H Wu. EDMC: Efficient multi-view clustering via cluster and instance space learning. IEEE Transactions on Multimedia, 2024.
10. Y Qin, N Pu, H Wu. Elastic multi-view subspace clustering with pairwise and high-order correlations. IEEE Transactions on Knowledge and Data Engineering, 2024.
11. Y Liu, H Wu, X Zhang. Robust and imperceptible black-box DNN watermarking based on Fourier perturbation analysis and frequency sensitivity clustering. IEEE Transactions on Dependable and Secure Computing, 2024.
12. T Yang, H Wu, B Yi, G Feng, X Zhang. Semantic-preserving linguistic steganography by pivot translation and semantic-aware bins coding. IEEE Transactions on Dependable and Secure Computing, 2024.
13. S Chen, A Malik, X Zhang, G Feng, H Wu. A fast method for robust video watermarking based on Zernike moments. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
14. L Xiong, T Peng, F Li, S Zeng, H Wu. Privacy-preserving authentication scheme with revocability for multi-WSN in industrial IoT. IEEE Systems Journal, 2023.
15. H Wu, C Li, G Liu, X Zhang. Hiding data hiding. Pattern Recognition Letters, 2023.
16. LMN Zhou, C Zhang, Q Zeng, X Liu, H Wu. Optimal low-hit-zone frequency-hopping sequence sets with wide-gap for FHMA systems under follower jamming. IEEE Communications Letters, 2022.
17. B Yi, H Wu, G Feng, X Zhang. ALiSa: Acrostic linguistic steganography based on BERT and Gibbs sampling. IEEE Signal Processing Letters, 2022.
18. Y Qin, H Wu, X Zhang, G Feng. Semi-supervised structured subspace learning for multi-view clustering. IEEE Transactions on Image Processing, 2022.
19. Z Wang, G Feng, H Wu, X Zhang. Data hiding in neural networks for multiple receivers. IEEE Computational Intelligence Magazine, 2021.
20. H Wu, G Liu, Y Yao, X Zhang. Watermarking neural networks with watermarked images. IEEE Transactions on Circuits and Systems for Video Technology, 2021.
21. H Wu, B Yi, F Ding, G Feng, X Zhang. Linguistic steganalysis with graph neural networks. IEEE Signal Processing Letters, 2021.
22. Y Chen, H Wang, H Wu, Z Wu, T Li, A Malik. Adaptive video data hiding through cost assignment and STCs. IEEE Transactions on Dependable and Secure Computing, 2021.
23. F Ding, H Wu, G Zhu, Y Shi. METEOR: Measurable energy map toward the estimation of resampling rate via a convolutional neural network. IEEE Transactions on Circuits and Systems for Video Technology, 2020.
24. H Wu, Y Shi, H Wang, L Zhou. Separable reversible data hiding for encrypted palette images with color partitioning and flipping verification. IEEE Transactions on Circuits and Systems for Video Technology, 2017.
25. G Xu, H Wu, Y Shi. Structural design of convolutional neural networks for steganalysis. IEEE Signal Processing Letters, 2016.