招聘:博士后、实习生,欢迎联系
研究方向:软件安全、程序分析与测试、RISC-V软件等

I am interested in testing and analyzing large-scale programs, such as detection of concurrency issues and security bugs. My main works are as follows:

  • Concurrency
    • General algorithms for detecting concurrency bugs (ESEC/FSE 2021a, ICSE 2023).
    • Deadlock detection, from prediction (ICSE 2020, ICSE 2012, IEEE TSE 2014) to isolation (ASE 2016, TSE 2016, ICSE 2014, IEEE TPDS 2015, PPoPP 2013, ICSE 2012).
    • High quality strategy for concurrency bug fixing/repair: FSE 2017a, ICSE 2016a.
    • Data race detection, such as sampling and active detection: FSE 2017b, FSE 2016, FSE 2015.
  • Security
    • Concurrency vulnerabilities: ESEC/FSE 2019, ESEC/FSE 2021b, ISSTA 2021a.
    • Others: SANER 2020, USENIX 2022, IEEE TRel 2022.
  • Mining
    • Rule based bug mining (ICSE 2016b, ESEC/FSE 2018, IEEE TSE 2019).
  • Autonomous Driving
    • Testing Data Generation (ISSTA 2023).

Service (more)

Recent Publications (more)

  1. Xudong Zhang and Yan Cai. Building Critical Testing Scenarios for Autonomous Driving from Real Accidents. ISSTA (accepted), 2023.
  2. Shihao Zhu, Yuqi Guo, Long Zhang, and Yan Cai. Tolerate Control-Flow Changes for Sound Data Race Prediction. ICSE (accepted), 2023.
  3. Liang He, Hong Hu, Purui Su, Yan Cai, and Zhenkai Liang. FreeWill: Automatically Diagnosing Use-after-free Bugs via Reference Miscounting Detection on Binaries. USENIX Security’22, 2022.
  4. Yutian Tang, Hao Zhou, Xiapu Luo, Ting Chen, Haoyu Wang, Zhou Xu, and Yan Cai. XDebloat: Towards Automated Feature-Oriented App Debloating. IEEE TSE, 2022.
  5. Yang Liu, Zisen Xu, Ming Fan, Yu Hao, Kai Chen, Hao Chen, Yan Cai, Zijiang Yang, Ting Liu. ConcSpectre: Be Aware of Forthcoming Malware Hidden in Concurrent Programs. IEEE TRel, 2022.