Zhenhao Li
Scholar

Zhenhao Li

Google Scholar ID: StfHC9AAAAAJ
York University
Software EngineeringAIOpsMining Software Repositories
Citations & Impact
All-time
Citations
592
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • ASE'25: Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
  • TSE'25: Towards Explainable Vulnerability Detection with Large Language Models
  • ISSTA'25: Understanding Practitioners’ Expectations on Clear Code Review Comments
  • TOSEM'25: NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations
  • TOSEM'25: An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
  • ICST'25: Benchmarking Open-source Large Language Models For Log Level Suggestion
  • ICSE'25: Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
  • ISSTA'24: ThinkRepair: Self-Directed Automated Program Repair
  • ICSE'24: Code Search is All You Need? Improving Code Suggestions with Code Search (ACM SIGSOFT Distinguished Paper Award)
  • ASE'23: Are They All Good? Studying Practitioners’ Expectations on the Readability of Log Messages
  • ICSE'23: Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  • TSE'22: Studying Duplicate Logging Statements and Their Relationships with Code Clones
  • ICSE'21: DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks
  • ASE'20: Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks
Research Experience
  • Serves as an Assistant Professor at the School of Information Technology, York University. Published multiple papers in international conferences and journals.
Education
  • Ph.D. from Concordia University in 2022, supervised by Dr. Tse-Hsun (Peter) Chen (Concordia University) and Dr. Weiyi (Ian) Shang (University of Waterloo).
Background
  • Assistant Professor at the School of Information Technology, York University. Research interests include software engineering, AIOps, SE for AI, mining software repositories, and empirical software engineering.
Co-authors
0 total
Co-authors: 0 (list not available)