Published several papers, received ACM SIGSOFT Distinguished Paper Award (2024), National Scholarship (2024), ACM SIGSOFT CAPS Travel Grant (2025). Papers include 'NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations', 'Understanding Practitioners’ Expectations on Clear Code Review Comments', etc.
Research Experience
Involved in multiple research projects including secure coding benchmarking, reasoning about software vulnerabilities, etc.
Education
Ph.D.: Singapore Management University, Advisor: Prof. David Lo; Master's: Zhejiang University, Advisors: Prof. Xing Hu and Prof. Xin Xia.
Background
Research Interests: Intersection of Software Engineering and Artificial Intelligence. Brief Introduction: Currently a Ph.D. student at Singapore Management University, aiming to make meaningful contributions to real-world problems, especially in the era of AI (especially Large Language Models), focusing on transforming code from uninterpretable output to grounded actions.
Miscellany
Served as a program committee member or journal reviewer for conferences and journals such as IST, ICSE (Shadow PC), MSR (Junior PC), etc.