Publications

• The Tale of Errors in Microservices
  I-Ting Angelina Lee, Zhizhou Zhang, Abhishek Parwal, and Milind Chabbi. SIGMETRICS 2025. data

• FixrLeak: GenAI-based Resource Leak Fix for Real-World Java Programs
  Zhizhou Zhang, Akshay Utture, Manu Sridharan, and Jens Palsberg. Machine Learning for Systems Workshop at 38th NeurIPS 2024.

• Early notice: GenAI-based Datarace Fix for Real-World Golang Programs
  Feiyang Jin, Zhizhou Zhang, Rajkishore Barik, Gautam Korlam, and Milind Chabbi. Machine Learning for Systems Workshops at 37th NeurIPS 2023.

• Blast from the Past: Least Expected Use (LEU) Cache Replacement with Statistical History
  Sayak Chakraborti*, Zhizhou Zhang*, Noah Bertram, Chen Ding, and Sandhya Dwarkadas. Proceedings of the International Symposium on Memory Management (ISMM) 2023. (*Equal contribution).

• A Prediction System Service
  Zhizhou Zhang, Alvin Glova, Timothy Sherwood, and Jonathan Balkind. Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2023. baseline implementation. simple test

• Establishing Cooperative Computation with Hardware Embassies
  Alvin Oliver Glova, Yukai Yang, Yiyao Wan, Zhizhou Zhang, George Michelogiannakis, Jonathan Balkind, and Timothy Sherwood. In 2022 International Symposium on Secure and Private Execution Environment Design (SEED).

• {CRISP}: Critical Path Analysis of {Large-Scale} Microservice Architectures
  Zhizhou Zhang, Murali Krishna Ramanathan, Prithvi Raj, Abhishek Parwal, Timothy Sherwood, and Milind Chabbi. In 2022 USENIX Annual Technical Conference (USENIX ATC 22), pp. 655-672. 2022. code. blog. data.

• Context-Aware Privacy-Optimizing Address Tracing
  Deeksha Dangwal, Zhizhou Zhang, Jedidiah R. Crandall, and Timothy Sherwood. In 2021 International Symposium on Secure and Private Execution Environment Design (SEED), pp. 150-162. IEEE, 2021.

• Optimistic Concurrency Control for Real-world Go Programs
  Zhizhou Zhang, Milind Chabbi, Adam Welc, and Timothy Sherwood. In 2021 USENIX Annual Technical Conference (USENIX ATC 21), pp. 939-955. 2021. code

• Fine-grained data usage analysis by access sampling: seeing the data that is not there
  Zhizhou Zhang, Chencheng Ye, Rahman Lavaee, Ning Gu, and Chen Ding. In Proceedings of the International Symposium on Memory Systems (ISMM), pp. 221-231. 2018.