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Resume (English only)
Academic Achievements
Published several papers, including 'Enhancing Deployment-time Predictive Model Robustness for Code Analysis and Optimization' and 'SecureMind: A Framework for Benchmarking Large Language Models in Memory Bug Detection and Repair'; received multiple awards such as the Chinese Award for Outstanding Students Abroad and Distinguished Paper Award at CGO 2025.
Research Experience
Currently a Research Fellow at the School of Computer Science, University of Leeds, working on practical machine learning (ML) for program analysis and optimization.
Education
Ph.D. student at the School of Computer Science, University of Leeds, supervised by Professor Zheng Wang.
Background
Research interests include applied machine learning, software security, and code optimization. Focuses on developing improved program representation methods to enhance performance on downstream tasks, making ML more accessible and easier to integrate, and enhancing model robustness and performance at deployment time.
Miscellany
Will attend upcoming events such as the VeTSS conference and LIDA workshop.