Chenguang Zhu

Research Scientist at Meta AI

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1 Hacker Way

Menlo Park, CA 94025

USA



I am a Research Scientist at Meta AI.

I received my Ph.D. from the Department of Electrical and Computer Engineering of the University of Texas at Austin, working with Professor Sarfraz Khurshid. Previously, I received my M.Sc. from the University of Toronto, Canada, working with Professor Marsha Chechik, and my B.E. from Harbin Institute of Technology, China.

My interests focus on program analysis techniques with applications in GPU performance optimization, machine learning efficiency and reliability, and automated software engineering. I am also interested in developing techniques for various innovative domains, including AI systems and smart contracts.


News

Oct 24, 2025 Mosaic, our tool for PyTorch memory profiling and analysis, is now available as open source!
Mar 29, 2025 Our paper Identifying Multi-Parameter Constraint Errors in Python Data Science Library API Documentations was accepted by ISSTA’25!
Jan 29, 2025 Our paper A Comprehensive Study of Governance Issues in Decentralized Finance Applications was accepted by ACM Transactions on Software Engineering and Methodology (TOSEM)!
Sep 19, 2024 Our work PyTorch Performance Debugging in N-Dimensional Parallelism won the Best Poster Award at PyTorch Conference 2024!
Apr 2, 2024 Our paper A Meta-Study of Software-Change Intentions was accepted by ACM Computing Surveys!