Jie Hu

My research focuses on making software more secure through automated program analysis, spanning greybox fuzzing, concolic execution, binary analysis, and large language models to systematically discover and repair vulnerabilities in real-world systems. I am a postdoctoral researcher at Arizona State University, working with Prof. Tiffany Bao. I received my Ph.D. in Computer Science from the University of California, Riverside in 2024, advised by Prof. Heng Yin.

Publications

Preprints

Teaching

Arizona State UniversityCo-Instructor

University of California, RiversideTeaching 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