Lingming Zhang

Lingming Zhang is an Associate Professor at the Department of Computer Science, University of Illinois Urbana-Champaign, affiliated with the Grainger College of Engineering. His research focuses on the intersection of Software Engineering, Programming Languages, and Machine Learning, with a particular emphasis on automated program repair, compiler testing, and large language model (LLM) applications in software engineering. He has published over 100 papers, achieving an h-index of 50+, and holds an ACM Distinguished Member status.

Research Interests:

• LLM-based software testing, repair, and synthesis
• Fuzzing of deep-learning libraries and compilers
• Open-source code LLMs (e.g., StarCoder2, Magicoder) with over 1M downloads
• Automated program repair systems (e.g., AlphaRepair, ChatRepair, Agentless)

Recent Contributions:

• Developed TitanFuzz for coverage-guided compiler fuzzing
• Released Agentless, an LLM-based coding tool adopted by OpenAI and DeepSeek
• Proposed SWE-RL to enhance LLM reasoning via reinforcement learning

Service Roles:

• Program Co-Chair for ASE 2025 and LLM4Code 2025
• Associate Chair for OOPSLA 2024 and Area Chair for ICSE 2025/2026
• Recipient of NSF CAREER Award and ACM SIGSOFT Early Career Award

Lab/Teams:

• Develops open-source tools like UniAPR for efficient patch validation
• Active in releasing industry-adopted LLM-based software engineering tools