Chenguang Zhu

Meta AI

profile_2023.jpg

1 Hacker Way

Menlo Park, CA 94025

USA



I am a Senior 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 20, 2026 Our talk Agentic Memory Optimization for PyTorch Training was presented at PyTorch Conference 2026!
Jun 17, 2026 Our poster Citrine: Catching Million-Dollar ML Anti-Patterns Before They Ship was presented at @Scale: AI & Data 2026!
Feb 17, 2026 Our paper OBsmith: LLM-powered JavaScript Obfuscator Testing was accepted by OOPSLA’26!
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 Documentation was accepted by ISSTA’25!