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Resume (English only)
Academic Achievements
Published multiple papers in conferences such as TOSEM'25, FSE'25 Industry Track, FSE'25, TSE'25, NAACL'25 Findings, ICSE'25, including 'AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling', 'Risk Assessment Framework for Code LLMs via Leveraging Internal States', etc.
Research Experience
Before joining Momentum Lab, worked with Prof. Haoyu Wang, Prof. Dan Pei, and Prof. Yuanchun Li.
Education
2024 - present: The University of Tokyo, Ph.D. Student in Computer Science, supervised by Prof. Lei Ma; 2021 - 2023: University of Alberta, M.Sc. in Electrical and Computer Engineering, supervised by Prof. Lei Ma; 2017 - 2021: Beijing University of Posts and Telecommunications, B.Sc. in Computer Science, supervised by Prof. Haoyu Wang and Prof. Yuanchun Li.
Background
Currently a Ph.D. student at Momentum Lab, Dept. of Computer Science at The University of Tokyo, supervised by Prof. Lei Ma. Research interests primarily focus on the quality assurance of complex systems, with a particular emphasis on testing, analysis, monitoring, and verification techniques. Also interested in the robustness of AI models and developing Human-Computer Interaction (HCI) solutions for machine learning (ML) development. Has experience in AI stack and blockchain technologies.