Penghui Li

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Penghui Li

Ph.D. Candidate
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Shatin, Hong Kong SAR, China

Office: Room 101, HSH Engineering Building
Email: phli[at]cse.cuhk.edu.hk
Curriculum Vitae (as of Jun 2022)

About Me

I am a third-year Ph.D. candidate at Department of Computer Science and Engineering, The Chinese University of Hong Kong. I am very fortunate to work with my advisor Prof. Wei Meng and other members in SecLab.

Currently, I am also a visiting student in Tsinghua University advised by Prof. Chao Zhang.

I received my bachelor's degree from University of Chinese Academy of Sciences in 2019, where I had fruitful research experience with Prof. Kai Chen working on my thesis project. I was born in Changsha, Hunan Province, China.

I am on the job market for 2023 fall intake. If you have any openings related to software security, I would love to get in contact!

Research Interests

  • Software security and program analysis.

  • Fuzz testing, symbolic execution, and their co-design.

Publications

  • SEDiff: Scope-Aware Differential Fuzzing to Test Internal Function Models in Symbolic Execution
    Penghui Li, Wei Meng, Kangjie Lu
    In Proceedings of The 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Research Track, November 2022

  • Tchecker: Precise Static Inter-Procedural Analysis for Detecting Taint-Style Vulnerabilities in PHP Applications
    Changhua Luo, Penghui Li, Wei Meng
    In Proceedings of The 29th ACM Conference on Computer and Communications Security (CCS), Web Security Track, November 2022

  • Understanding and Detecting Performance Bugs in Markdown Compilers
    Penghui Li, Yinxi Liu, Wei Meng
    In Proceedings of The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), Research Track, November 2021

  • LChecker: Detecting Loose Comparison Bugs in PHP
    Penghui Li, Wei Meng
    In Proceedings of The Web Conference 2021 (WWW), Security Track, April 2021

  • On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution
    Penghui Li, Wei Meng, Kangjie Lu, Changhua Luo
    In Proceedings of The Web Conference 2021 (WWW), Security Track, April 2021