• “SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory.”
    Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael R. Lyu, and Yangfan Zhou.
    In Proc. of the 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2023.
  • “Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System.”
    Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, and Michael R. Lyu.
    In Proc. of the 29th Symposium on Operating Systems Principles (SOSP), pp. 675-691, 2023.
  • “Validating Multimedia Content Moderation Software via Semantic Fusion.”
    Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, and Michael R. Lyu.
    In Proc. of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), pp. 576–588, 2023.
  • “Appaction: Automatic GUI Interaction for Mobile Apps via Holistic Widget Perception.”
    Yongxiang Hu, Jiazhen Gu, Shuqing Hu, Yu Zhang, Wenjie Tian, Shiyu Guo, Chaoyi Chen, and Yangfan Zhou.
    In Proc. of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), pp. 1786-1797, 2023.
  • “An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software.”
    Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, and Michael R. Lyu.
    In Proc. of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1339-1351, 2023.
  • “Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing.”
    Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, and Michael R. Lyu.
    In Proc. of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 661-672, 2023.
  • “Prism: Revealing Hidden Functional Clusters of Massive Instances in Cloud Systems.”
    Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, and Michael R. Lyu. \
    In Proc. of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 268-280, 2023.
  • “BiasAsker: Measuring the Bias in Conversational AI System.”
    Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, and Michael R. Lyu. \ In Proc. of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), pp. 515-527, 2023.
  • “Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.”
    Jiazhen Gu, Xuchuan Luo, Yangfan Zhou, and Xin Wang. \
    In Proc. of the 44th International Conference on Software Engineering (ICSE), 2022.
  • “Efficient Incident Identification from Multi-dimensional Issue Reports via Meta-heuristic Search.”
    Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, and Dongmei Zhang.
    In Proc. of the 28th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE), 2020.
  • “Efficient Customer Issue Triage via Linking with System Incidents.”
    Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, and Dongmei Zhang.
    In Proc. of the 28th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE), 2020.
  • “Detecting Deep Neural Network Defects with Data Flow Analysis.”
    Jiazhen Gu, Huanlin Xu, Haochuan Lu, Yangfan Zhou, and Xin Wang.
    In Proc. of the 51th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2021.
  • “Efficient Scheduling for Multi-Block Updates in Erasure Coding Based Storage Systems.”
    Jiajie Shen, Kai Zhang, Jiazhen Gu, Yangfan Zhou, and Xin Wang.
    IEEE Transactions on Computers (IEEE TC), Vol. 67, No. 4, pp. 573-581, April 1 2018.
  • “Flexible Regenerating Codes for Multiple Node Failure.”
    Jiajie Shen, Jiazhen Gu, Yangfan Zhou, and Xin Wang.
    CCF BigData 2016 (Best research paper award).
  • “Bandwidth-aware Delayed Repair in Distributed Storage System.”
    Jiajie Shen, Jiazhen Gu, Yangfan Zhou, and Xin Wang.
    In Proc. of the IEEE Symposium on Quality of Service (IWQoS), 2016.
  • “Cloud-of-Clouds Storage Made Efficient: A Pipeline-Based Approach.”
    Jiajie Shen, Jiazhen Gu, Yangfan Zhou, and Xin Wang.
    In Proc of the IEEE International Conference on Web Services (ICWS), 2016.