Published multiple papers including but not limited to 'KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems', 'Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation', etc. Participated in several international conferences such as DSN'25, FSE'25, ICSE'25, and had papers accepted or published in CCF-A ranked journals and conferences.
Research Experience
Works as a PhD student at ARISE Lab, The Chinese University of Hong Kong, focusing on research related to software quality assurance.
Education
PhD Candidate in Computer Science and Engineering at The Chinese University of Hong Kong, advised by Prof. Michael R. Lyu.
Background
Currently a final year Ph.D. student at The Chinese University of Hong Kong, with research interests mainly in quality assurance in software maintenance, specifically for logging statements and code comments.
Miscellany
No specific personal interests or additional information provided