Jiazhen Gu is a postdoctoral researcher in the Automated Reliable Intelligent Software Engineering (ARISE) Lab at The Chinese University of Hong Kong, mentored by Prof. Michael R. Lyu. Jiazhen Gu received both Ph.D. and B.S. degrees from Fudan University, supervised by Prof. Xin Wang and Prof. Yangfan Zhou.

His research focuses on software reliability engineering for cloud & AI systems, including:

• AIOps for cloud systems
  • Adopts data-driven methods to automate operations tasks (e.g., anomaly detection, root cause analysis) based on heterogeneous data (e.g., metrics, logs, alerts, and traces)
• Reliability of AI systems
  • Robustness/Fairness of AI models
  • Reliability of AI infrastructure (e.g., TensorFlow and TVM)

🔥 News

• [2024.04] Our paper “Combating Missed Recalls in E-commerce Search: a CoT-prompting Testing Approach” was accpeted by the industry track of FSE 2024 (The ACM International Conference on the Foundations of Software Engineering). Congurations to Shengnan!
• [2024.04] Our paper “Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Applications” was accpeted by FSE 2024 (The ACM International Conference on the Foundations of Software Engineering) after major revision. Congurations to Shuqing!
• [2024.03] Our paper “A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?” was accepted by ISSTA 2024 (The ACM SIGSOFT International Symposium on Software Testing and Analysis).
• [2024.01] 2 papers were accpeted by FSE 2024 (The ACM International Conference on the Foundations of Software Engineering).
• [2023.12] 3 papers were accpeted by ICSE-SEIP 2024 (The 46th IEEE/ACM International Conference on Software Engineering, The Software Engineering in Practice track).
• [2023.08] Our paper “Appaction: Automatic GUI Interaction for Mobile Apps via Holistic Widget Perception” was accepted by the industry track of FSE 2023 (The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering).
• [2023.08] 3 papers were accepted by The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023.
• [2023.07] Our paper “Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System” was accepted by The 29th ACM Symposium on Operating Systems Principles (SOSP), 2023.

📝 Publications

Selected Papers (all)

1. 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 OSDI 2023.
2. 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 SOSP 2023.
3. 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 ESEC/FSE 2023, Industry Track.
4. 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 ASE 2023.
5. 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 ASE 2023.
6. 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 ASE 2023.
7. 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 ISSTA 2023.
8. 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 ESEC/FSE 2023.
9. Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
   Jiazhen Gu, Xuchuan Luo, Yangfan Zhou, and Xin Wang.
   In Proc. of ICSE 2022.
10. 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 ESEC/FSE 2020.
11. 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 ESEC/FSE 2020, Industry Track.

💬 Invited Talks

• [2023.06] “Towards Intelligent Operations for Reliable Cloud Systems: Current Landscape, Opportunities, and Challenges”.