Jie Hu

My research interests lie in the field of computer security, where I specialize in developing advanced program analysis techniques (including concolic execution, program fuzz testing, and hybrid fuzzing) for uncovering vulnerabilities within systems and software. I am a postdoctoral researcher at Arizona State University, working with Prof. Tiffany Bao. I obtained my Ph.D in Computer Science from University of California, Riverside in 2024, where I was advised by Prof. Heng Yin.

Publications

• [S&P’26] Yibo Liu, Zion Leonahenahe Basque, Arvind S Raj, Chavin Udomwongsa, Chang Zhu, Jie Hu, Changyu Zhao, Fangzhou Dong, Adam Doupé, Tiffany Bao, Yan Shoshitaishvili, and Ruoyu Wang, Oxidizer: Toward Concise and High-fidelity Rust Decompilation, IEEE Symposium on Security and Privacy, May 2026.
• [SecDev’26] James Mattei, Andrew Lin, Jasper Geer, Jie Hu, Moritz Schloegel, Tiffany Bao, and Daniel Votipka, SoK: A Modularized Framework for Symbolic Execution and Application for Usable Tool Design, IEEE Secure Development Conference, 2026. (to appear)
• [Preprint’26] Ashwin Sudhir, Zion Leonahenahe Basque, Wil Gibbs, Ati Priya Bajaj, Pulkit Singh Singaria, Mitchell Zakocs, Jie Hu, Moritz Schloegel, Tiffany Bao, Adam Doupe, Yan Shoshitaishvili, Ruoyu Wang, Pushan: Trace-Free Deobfuscation of Virtualization-Obfuscated Binaries, arXiv, 2026.
• [ISSTA’24] Yuxin Qiu, Jie Hu, Qian Zhang, and Heng Yin, Calico: Automated Knowledge Calibration and Diagnosis for Elevating AI Mastery in Code Tasks, ACM SIGSOFT International Symposium on Software Testing and Analysis, September 2024.
• [USENIX’24] Zhenxiao Qi, Jie Hu, Zhaoqi Xiao, and Heng Yin, SymFit: Making the Common (Concrete) Case Fast for Binary-Code Concolic Execution, 33rd USENIX Security Symposium, August 2024.
• [ICSE’24] Jie Hu, Yue Duan, and Heng Yin, Marco: A Stochastic and Asynchronous Concolic Explorer, 46th International Conference on Software Engineering, April 2024. [GitHub]
• [Preprint’23] Jie Hu, Qian Zhang, and Heng Yin, Augmenting Greybox Fuzzing with Generative AI, arXiv, 2023.
• [RAID’19] Yue Duan, Lian Gao, Jie Hu, and Heng Yin, Automatic Generation of Non-intrusive Updates for Third-Party Libraries in Android Applications, 22nd International Symposium on Research in Attacks, Intrusions and Defenses, September 2019.

Teaching

• CS009A — Data Oriented Intro. to Computing I: 23S
• CS010A — Intro to Computer Science for Science, Mathematics, & Engineering I (C++): 23F
• CS010B — Intro to Computer Science for Science, Mathematics, & Engineering II (C++): 19W
• CS061 — Machine Organization and Assembly Language Programming: 19S
• CS153 — Design of Operating Systems: 24W/22F/22S/21S/20S
• CS165 — Computer Security: 23W
• CS179F — Project in CS: Operating Systems: 21W
• CS182 — Software Testing And Verification: 20W

Honors & Awards

• 2024 UCR GSA Conference Travel Grant
• 2024 Outstanding Teaching Assistant in CSE Department
• 2022 CCS Student Travel Grant
• 2017 Dean’s Distinguished Fellowship, UC Riverside