Dr. Wei Wan
Assistant Professor Master Supervisor
Email: weiwan@cityu.edu.mo
Tel: (853)85902424
Office address: Room N406, Choi Kai Yau Building, City University of Macau (Taipa)
Academic Qualifications
2025 Ph.D. in Cyberspace Security, Huazhong University of Science and Technology (HUST), China
2021 M.S. in Software Engineering, Huazhong University of Science and Technology (HUST), China
2018 B.S. in Software Engineering, Wuhan Institute of Technology (WIT), China
Research interests
AI Security
Embodied AI
Federated Learning
Research and publications
Refereed Journal Articles
1. Hangtao Zhang, Yucheng Zhao, Sishun Liu, Ziqi Zhou, Zeyu Ye, Wei Wan, Minghui Li, Shengshan Hu, Yanjun Zhang, Yi Liu, Leo Yu Zhang. Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics. USENIX Security Symposium (USENIX Security), 2026. (CCF A, Sole Corresponding Author)
2. Wei Wan, Ning Yuxuan, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang. MARS: A Malignity-Aware Backdoor Defense in Federated Learning. 39th Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
3. Minghui Li, Hangtao Zhang, Yanjun Zhang, Li Zeng, Chao Chen, Qiyun Shao, Wei Wan, Shengshan Hu, Leo Yu Zhang. Fine-Grained Poisoning Framework Against Federated Learning. IEEE Transactions on Dependable and Secure Computing (TDSC), 2025. (CCF A)
4. Minghui Li, Yuanhang Wang, Peijin Guo, Wei Wan, Shengshan Hu, Shengqing Hu. HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction. 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. (CCF B)
5. Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Jing Wang. Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. (CCF B)
6. Ziqi Zhou, Menghao Deng, Yufei Song, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li, Leo Yu Zhang, and Dezhong Yao. DarkHash: A Data-Free Backdoor Attack Against Deep Hashing. IEEE Transactions on Information Forensics and Security (TIFS), 2025. (CCF A, Sole Corresponding Author)
7. Minghui Li, Yao Shi, Shengqing Hu, Shengshan Hu, Peijin Guo, Wei Wan, Leo Yu Zhang, Shirui Pan, Jizhou Li, Lichao Sun, and others. MVSF-AB: Accurate Antibody–Antigen Binding Affinity Prediction via Multi-View Sequence Feature Learning. Bioinformatics, 2025. (CCF B)
8. Minghui Li, Lei Yu, Hewen Pan, Shengqing Hu, Longling Zhang, Shengshan Hu, Wei Wan, and Peijin Guo. An Efficient Residual-based Low-dose PET Reconstruction with Spatial-Frequency Integration. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF B)
9. Peijin Guo, Minghui Li, Hewen Pan, Ruixiang Huang, Lulu Xue, Shengqing Hu, Zikang Guo, Wei Wan, and Shengshan Hu. Multi-modality Representation Learning for Antibody-Antigen Interactions Prediction. International Conference on Multimedia and Expo (ICME), 2025. (CCF B)
10. Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, and Hai Jin. Numbod: A Spatial-Frequency Fusion Attack Against Object Detectors. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A, Co-Corresponding Author)
11. Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, and Minghui Li. Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A, Sole Corresponding Author)
12. Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Hangtao Zhang, Menghao Deng, Wei Wan, Shengshan Hu, and Leo Yu Zhang. PB-UAP: Hybrid Universal Adversarial Attack for Image Segmentation. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF B)
13. Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, and Hai Jin. ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification. European Symposium on Research in Computer Security (ESORICS), 2024. (CCF B)
14. Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, and Hai Jin. Why Does Little Robustness Help? A Further Step towards Understanding Adversarial Transferability. IEEE Symposium on Security and Privacy (S&P), 2024. (CCF A)
15. Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, and Yichen Wang. DarkFed: A Data-Free Backdoor Attack in Federated Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A, Co-First Author & Sole Corresponding Author)
16. Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, and Hai Jin. MISA: Unveiling the Vulnerabilities in Split Federated Learning. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. (CCF B)
17. Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, and Hai Jin. Securely Fine-Tuning Pre-trained Encoders Against Adversarial Examples. IEEE Symposium on Security and Privacy (S&P), 2024. (CCF A)
18. Jianrong Lu, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, and Hai Jin. Depriving the Survival Space of Adversaries against Poisoned Gradients in Federated Learning. IEEE Transactions on Information Forensics and Security (TIFS), 2024. (CCF A)
19. Wei Wan, Shengshan Hu, Jianrong Lu, Minghui Li, Ziqi Zhou, Hai Jin. Enhancing Generalization Robustness of Federated Learning in Highly Heterogeneous Environments. SCIENTIA SINICA Informationis, 2024. (CCF A)
20. Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, and Hai Jin. A Four-Pronged Defense against Byzantine Attacks in Federated Learning. Proceedings of the 31st ACM International Conference on Multimedia (ACMMM), 2023. (CCF A)
21. Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, and Yuanyuan He. Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. International Joint Conference on Artificial Intelligence (IJCAI), 2022. (CCF A)
Patents
- National Scholarship for PhD Candidates, 2024
- HUST Science and Technology Innovation Scholarship, 2024
- HUST Outstanding Graduate, 2025
- HUST Zhixing Scholarship, 2022
- HUST Outstanding Graduate Student (Merit Student), 2022 & 2024
- 3rd Prize, 2nd "Huawei Cup" China Graduate Cybersecurity Innovation Competition, 2023
- 1st Prize, 7th, 8th, and 9th Mathematics Competition of Chinese College Students, 2015, 2016, 2017
- 1st Prize, 4th, 5th, and 6th Hubei Provincial Undergraduate Mathematics Competition, 2015, 2016, 2017
- 2nd Prize, 8th Lanqiao Cup National Software and Information Technology Professionals Competition, 2017
Academic Awards
- National Scholarship for PhD Candidates, 2024
- HUST Science and Technology Innovation Scholarship, 2024
- HUST Outstanding Graduate, 2025
- HUST Zhixing Scholarship, 2022
- HUST Outstanding Graduate Student (Merit Student), 2022 & 2024
- 3rd Prize, 2nd "Huawei Cup" China Graduate Cybersecurity Innovation Competition, 2023
- 1st Prize, 7th, 8th, and 9th Mathematics Competition of Chinese College Students, 2015, 2016, 2017
- 1st Prize, 4th, 5th, and 6th Hubei Provincial Undergraduate Mathematics Competition, 2015, 2016, 2017
- 2nd Prize, 8th Lanqiao Cup National Software and Information Technology Professionals Competition, 2017
Research Projects:
- Science and Technology Development Fund, Research on Embodied Intelligence Security Technologies for the Physical World, Lead. (2026-2028)
- National Natural Science Foundation of China (General Program), "Research on Fundamental Theories and Technologies for Large-scale Pre-trained Model Security" (No. 62372196), Participant. (2024-2028)
- National Natural Science Foundation of China (Joint Fund), "Adversarial Attacks and Security Protection for Autonomous Driving Intelligent Systems" (No. U20A20177), Participant. (2020-2025)
- National Natural Science Foundation of China (Young Scientists Fund), "Research on Secure Query Techniques for Multimodal Data Based on Federated Learning" (No. 62002126), Participant. (2021-2024)
- Student Innovation Grant, School of Cyber Science and Engineering, "Secure Aggregation in Federated Learning", Lead. (2022-2023)
- Student Innovation Grant, School of Cyber Science and Engineering, "Security Attacks and Defenses in Federated Learning", Lead. (2024-2025)
