Congyu Liu

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I am a Ph.D. student in Computer Science at Purdue University, where I work with Pedro Fonseca and Yongle Zhang. Previously, I received my B.S. in Computer Science from Huazhong University of Science and Technology.

My current research focuses on system reliability and security.

Publications

  1. SOSP ’26
    Tamias: Feedback-Guided Systematic Concurrency Exploration for Transparent Distributed System Fuzzing
    Congyu Liu, Yaoxu Song, Pedro Fonseca, and Yongle Zhang
    In ACM SIGOPS 32nd Symposium on Operating Systems Principles, 2026
  2. Eurosys ’25
    Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication
    Dinglan Peng, Congyu Liu, Tapti Palit, Anjo Vahldiek-Oberwagner, Mona Vij, and Pedro Fonseca
    In Proceedings of the Twentieth European Conference on Computer Systems, 2025
  3. OOPSLA ’24
    ParDiff: Practical Static Differential Analysis of Network Protocol Parsers
    Mingwei Zheng, Qingkai Shi, Xuwei Liu, Xiangzhe Xu, Le Yu, Congyu Liu, Guannan Wei, and Xiangyu Zhang
    Proceedings of the ACM on Programming Languages, 2024
  4. ASPLOS ’23
    Veil: A Protected Services Framework for Confidential Virtual Machines
    Adil Ahmad, Botong Ou, Congyu Liu, Xiaokuan Zhang, and Pedro Fonseca
    In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, May 2023
  5. S&P ’23
    uSWITCH: Fast Kernel Context Isolation with Implicit Context Switches
    Dinglan Peng, Congyu Liu, Tapti Palit, Pedro Fonseca, Anjo Vahldiek-Oberwagner, and Mona Vij
    In 2023 IEEE Symposium on Security and Privacy, May 2023
  6. ASPLOS ’23
    KIT: Testing OS-Level Virtualization for Functional Interference Bugs
    Congyu Liu, Sishuai Gong, and Pedro Fonseca
    In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, May 2023

Service

  • IEEE Transactions on Computers (Reviewer, 2026)
  • FAST ’23 Artifact Evaluation (PC)