冯磊，东南大学计算机科学与工程学院教授、博导/硕导、国家级高层次青年人才。博士毕业于新加坡南洋理工大学，研究方向为可信机器学习、人工智能安全、多模态大模型。长期担任多个国际高水平会议（如ICML、NeurIPS、ICLR）的领域主席（Area Chair），并担任国际知名期刊（如TMLR、NN）的执行主编（Action Editor）。目前已在国际高水平学术会议与期刊上发表论文90余篇（其中包括23篇ICML、13篇NeurIPS、10篇ICLR等），获得了ICLR 2022杰出论文奖荣誉提名、2024年世界人工智能大会青年优秀论文提名奖等荣誉，先后入选了2021年福布斯中国30位30岁以下精英榜（科学领域）、2022年福布斯亚洲30位30岁以下精英榜（科学领域）、2024年亚太30岁以下青年领袖榜。主持国家自然科学基金、中国人工智能学会-华为MindSpore学术奖励基金等项目。更多详细信息请查看个人主页。
[2025年5月19日 update] 招生信息：
2025年的硕士/博士名额已满
2026年的保研硕士名额已满，2026年的普博/直博名额还有1-2个，欢迎联系，先到先得
欢迎本科生进组科研实习
目前课题组的研究完全围绕大模型，主要研究方向是：大模型safety/security、大模型agent、大模型reasoning
课题组今年已录用/发表的部分论文：
Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng*.
A Closer Look at Backdoor Attacks on CLIP.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng*.
Test-Time Multimodal Backdoor Detection by Contrastive Prompting.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng*.
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu*, Lei Feng*.
Rethinking Chainof-Thought from the Perspective of Self-Training.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng*, Bo An.
Representation Surgery in Model Merging with Probabilistic Modeling.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu.
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu.
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks.
Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Shengjie Zhou, Xin Cheng, Haiyang Xu, Ming Yan, Tao Xiang, Feng Liu, Lei Feng*.
Endowing Visual Reprogramming with Adversarial Robustness.
Proceedings of the 13th International Conference on Learning Representations (ICLR'25), 2025.
Suqin Yuan, Runqi Lin, Lei Feng*, Bo Han, Tongliang Liu*.
Instance-dependent Early Stopping.
Proceedings of the 13th International Conference on Learning Representations (ICLR'25), 2025.
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu.
Attribute-based Visual Reprogramming for Image Classification with CLIP.
Proceedings of the 13th International Conference on Learning Representations (ICLR'25), 2025.
