1. CCS’23
    DSFuzz: Detecting Deep State Bugs with Dependent State Exploration
    Yinxi Liu, and Wei Meng
    In 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2023


  1. CCS’22
    Acquirer: A Hybrid Approach to Detecting Algorithmic Complexity Vulnerabilities
    Yinxi Liu, and Wei Meng
    In 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2022


  1. ASE’21
    Understanding and Detecting Performance Bugs in Markdown Compilers
    Penghui Li , Yinxi Liu, and Wei Meng
    In 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) , 2021
  2. SP’21
    Revealer: Detecting and Exploiting Regular Expression Denial-of-Service Vulnerabilities
    Yinxi Liu, Mingxue Zhang , and Wei Meng
    In 2021 IEEE Symposium on Security and Privacy (SP) , 2021


  1. AI4AN’20
    Interpretable Anomaly Detection in Variable-Length Co-Evolving Rhythmic Sequences
    Yinxi Liu, Kai Yang , Shaoyu Dou , and 1 more author
    Proceedings of The 1st Workshop on Artificial Intelligence for Anomalies and Novelties (AI4AN workshop in IJCAI ’20), 2020


  1. ITML’19
    Local Group Anomaly Detection for Multiple Time Series with Synchronization Errors
    Yinxi Liu, Kai Yang , and Shaoyu Dou
    Proceedings of The NeurIPS 2019 Workshop on Information Theory and Machine Learning (ITML workshop in NeuraIPS ’19), Dec 2019