Yuzhou Fang
Ph.D. Candidate · University of Southern California
I am a fourth-year Ph.D. candidate in Computer Science at the University of Southern California, where I am fortunate to be advised by Prof. Chao Wang. My research lies at the intersection of software engineering, programming languages, and formal methods.
Recently, my research has focused on machine learning compilers, with particular interest in systems such as PyTorch Compiler. I previously interned with Meta's Python Runtime team, where I worked on Free-Threaded Python.
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I am an Applied Scientist Intern on the Neuron ARG team at Annapurna Labs, an Amazon company, where I work on the Machine Learning compiler for AWS Trainium. I am actively seeking full-time and internship positions in Machine Learning Compilers/Systems.
News
- Joined Annapurna Labs as an Applied Scientist Intern for Summer 2026.
- Our paper on efficient symbolic execution under fault attacks was accepted to ECOOP 2026.
- Passed my Ph.D. qualifying exam.
- Joined Meta's Python Runtime team as a Ph.D. Software Engineer Intern, working on Free-Threaded Python.
Research
For most of my Ph.D., I worked on program analysis and verification techniques to improve the robustness and reliability of software systems. I am now shifting my focus toward machine learning compilers while retaining my interest in programming languages.
Machine learning compilers
Programming languages and runtime.
Program analysis and security
Selected Publications
Google Scholar-
ECOOP 2026
Efficient Symbolic Execution of Software under Fault Attacks
Yuzhou Fang, Chenyu Zhou, Jingbo Wang, and Chao Wang
Paper -
POPL 2025
An Incremental Algorithm for Algebraic Program Analysis
Chenyu Zhou, Yuzhou Fang, Jingbo Wang, and Chao Wang
Paper -
ISSTA 2023
Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts
Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, and Lingxiao Jiang
Paper -
NDSS 2023
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects
Xiao Yi, Yuzhou Fang, Daoyuan Wu, and Lingxiao Jiang
Paper -
FSE 2022
An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns
Xiao Yi, Daoyuan Wu, Lingxiao Jiang, Yuzhou Fang, Kehuan Zhang, and Zhang Wei
Paper -
KBS 2021
A Novel Framework for Detecting Social Bots with Deep Neural Networks and Active Learning
Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Jing Jin, Lai Wei, and Haizhou Wang
Paper -
WISE 2020
Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine
Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Lai Wei, Jing Jin, and Haizhou Wang
Paper
Misc
I'm from Chongqing, a vibrant mountain city where the Yangtze and Jialing rivers meet.
Outside research, I love basketball and am a die-hard fan of Stephen Curry and the Golden State Warriors. I also enjoy cooking, especially Chinese food.
My girlfriend and I have two Ragdoll cats, Dudu and Nono.
