萬偉 博士
助理教授 碩導
學校郵箱：weiwan@cityu.edu.mo
辦公電話：(853)85902424
辦公地址：澳門城市大學(氹仔)何鴻燊樓S401室
學歷
2025 網絡空間全博士, 華中科技大學, 中國
2021 軟件工程碩士, 華中科技大學, 中國
2018 軟件工程學士, 武漢工程大學, 中國
現任
澳門城市大學數據科學學院助理教授
曾任教科目
BCS009 數據結構與算法
BCS209 人工智能概論
研究方向
人工智能安全、具身智能、聯邦學習
研究及出版
1. 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, 唯一通訊作者)
2. 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)
3. 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)
4. 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)
5. 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, 共同通訊作者)
6. 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, 唯一通訊作者)
7. 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)
8. 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)
9. 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)
10. 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, 共同第一作者&唯一通訊作者)
11. 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)
12. 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)
13. 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)
14. 萬偉, 胡勝山, 陸建榮, 李明慧, 周子淇, 金海. 聯邦學習在高度數據异構場景下的泛化魯棒性增强. 中國科學：信息科學, 2024. (CCF A)
15. 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)
16. 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)
專利
1. 胡勝山, 王江雄, 李明慧, 宋梅斌, 張業超, 萬偉. 一種基于SECA 的多尺度網絡及其訓練方法. 中國, 發明專利, 申請號: 2023107551729
2. 胡勝山, 陸建榮, 李明慧, 史俊玉, 萬偉. 一種聯邦學習場景下防禦拜占庭攻擊的方法和系統. 中國, 發明專利, 申請號: 2023103085049
3. 胡勝山, 李明慧, 王乙臣, 薛潞潞, 萬偉, 張業超. 一種協作學習場景下基于符號翻轉的隱私保護方法和系統. 中國, 發明專利, 申請號: 2023111327637
4. 胡勝山, 劉威, 李明慧, 萬偉. 一種基于3D點雲魯棒一致性的後門黑盒檢測方法和系統. 中國, 發明專利, 申請號: 2023109302970
學術獎項
1. 博士研究生國家獎學金 2024
2. 華中科技大學科技創新獎學金 2024
3. 華中科技大學優秀畢業生 2025
4. 華中科技大學知行獎學金 2022
5. 華中科技大學三好研究生 2022&2024
6. “華爲杯”第二届中國研究生網絡安全創新大賽三等獎 2023
7. 第七、八、九届全國大學生數學競賽一等獎 2015、2016、2017
8. 第四、五、六届湖北省大學生數學競賽一等獎 2015、2016、2017
9. 第八届藍橋杯全國軟件和信息技術專業人才大賽二等獎 2017
科研項目：
1. 國家自然科學基金（面上項目），大規模預訓練模型安全基礎理論與技術研究 （No. 62372196），參與。（2024-2028）
2. 國家自然科學基金（聯合基金），自動駕駛智能系統對抗攻擊與安全防護 （No. U20A20177），參與。（2020-2025）
3. 國家自然科學基金（青年基金），基于聯邦學習的多模態數據安全查詢技術研究（No. 62002126），參與。（2021-2024）
4. 網絡安全學院學生創新資助項目，聯邦學習Secure Aggregation問題，主持。（2022-2023）
5. 網絡安全學院學生創新資助項目，聯邦學習安全攻防，主持。（2024-2025）
