Received Best Paper Award of ECML-PKDD 2021, Best Paper Award of ICML 2024 Workshop, Silver Best Paper Award of ICML 2021 Workshop, Best Paper Runner-Up Award of ICLR 2025 Workshop, 1st Place in the CVPR 2021 Adversarial Competitions, and Champion in the 2020 GeekPwn CAAD Competitions.
Research Experience
Tenure-track Assistant Professor (Ph.D. Advisor) at Peking University, School of Intelligence Science and Technology. Also a faculty member of ZERO Lab led by Prof. Zhouchen Lin.
Education
Ph.D. from Department of Computer Science and Technology, Tsinghua University; Visiting experience: Georgia Tech, USA (Hosted by Prof. Le Song and Prof. Hongyuan Zha); The University of Melbourne, Australia (Hosted by Prof. James Bailey).
Background
Research interests include the theory of learning paradigms, AI safety, reasoning in LLMs, and graph learning. Focuses on deriving meaningful and robust representations from unlabeled, noisy, and adversarial data, grounded in principled and theoretically driven methodologies.