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. [CV]

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)
• [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]
• [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.

Preprints

• 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.
• Jie Hu, Qian Zhang, and Heng Yin, Augmenting Greybox Fuzzing with Generative AI, arXiv, 2023.

Teaching

Arizona State University — Co-Instructor

• CSE545 — Software Security (with Moritz Schloegel and Erik Trickel) [25S]

University of California, Riverside — Teaching Assistant

• CS009A — Data Oriented Introduction to Computing I [23S]
• CS010A — Introduction to Computer Science I (C++) [23F]
• CS010B — Introduction to Computer Science 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]

Service

Program Committee:

• International Symposium on Research in Attacks, Intrusions and Defenses (RAID) 2026
• Network and Distributed System Security Symposium (NDSS) 2026 (Poster)

Journal Reviewer:

• IEEE Transactions on Dependable and Secure Computing (TDSC)
• ACM Transactions on Privacy and Security (TOPS)
• ACM Transactions on Software Engineering and Methodology (TOSEM)

External Conference Reviewer:

• S&P 2021, 2022, 2024, 2025
• ISSRE 2024
• RAID 2023
• USENIX Sec 2021, 2022
• AsiaCCS 2019, 2020
• DIMVA 2019

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