Jie Hu's Homepage
Jie Hu

Postdoctoral Research Scholar

School of Computing and Augmented Intelligence

Arizona State University

jiehu12 (at) asu (dot) edu

About Me

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.

News

  • [09/2024] Release Marco on Github:
  • [09/2024] Excited to announce that I will be joining ASU as a Postdoctoral Researcher!"
  • [08/2024] Successfully defended my Ph.D. dissertation!
  • [07/2024] Our work, Calico, is accepted to ISSTA'24! Congrats to Yuxin!
  • [05/2024] Our work, SymFit, is accepted to USENIX'24! Congrats to Zhenxiao and Zhaoqi!
  • [05/2024] I am honored to receive the Outstanding Teaching Award for the 2023-2024 academic year!
  • [12/2023] Our work on augmenting greybox fuzzing with generative AI is available on Arxiv.
  • [08/2023] Our work, Marco, has been accepted to ICSE '24!

Publication

  • [ISSTA'24] Yuxin Qiu, Jie Hu, Qian Zhang, and Heng Yin, Calico: Automated Knowledge Calibration and Diagnosis for Elevating AI Mastery in Code Tasks, to appear in the 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, to appear in the 33rd USENIX Security Symposium, August 2024.
  • [ICSE'24] Jie Hu, Yue Duan, and Heng Yin, Marco: A Stochastic and Asynchronous Concolic Explorer, to appear in the 46th International Conference on Software Engineering, April 2024.
  • [RAID'19] Yue Duan, Lian Gao, Jie Hu, and Heng Yin, Automatic Generation of Non-intrusive Updates for Third-Party Libraries in Android Applications, in the 22nd International Symposium on Research in Attacks, Intrusions and Defenses, September 2019.

Professional Services

Journal Reviewer:

  • TDSC 2022, 2024;
  • TOPS 2024;
  • PeerJ Computer Science;

External Conference Reviewer:

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