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. degree from the Department of Electrical and Computer Engineering of the University of Texas at Austin, where I worked with Professor Sarfraz Khurshid. Before that, I received my M.Sc. degree from the University of Toronto, Canada, where I worked with Professor Marsha Chechik. I received my B.E. degree from the Harbin Institute of Technology, China.

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


News

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!
Oct 5, 2023 The SapientML project we started has now received 350+ stars on GitHub, check it out and also our SapientML ICSE 2022 paper!
Jul 18, 2023 Our paper A Vision on Intentions in Software Engineering was accepted by FSE’23 Ideas, Visions and Reflections Track!
Jul 6, 2023 Our paper CompSuite: A Dataset of Java Library Upgrade Incompatibility Issues was accepted by ASE’23 Tool Demonstrations Track!