Haoyu Li

About

I am a research engineer at AI and Systems Research@Google. Previously, I obtained my PhD from Computer Science Department, Columbia University, supervised by Prof. Asaf Cidon. My research interest is storage and ML systems. Before joining Columbia, I spent four wonderful years in the Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University, where I was advised by Prof. Haibo Chen. I was a research intern at Microsoft Research Asia, Alibaba, and Google.

Employment

• Google (United States)
  2025 - Present
• Columbia University PhD Student
  2020 - 2025

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• DFUSE: Strongly Consistent Write-Back Kernel Caching for Distributed Userspace File Systems
  2025 DOI: 10.1145/3772052.3772208
  +Save
• RubbleDB: CPU-Efficient Replication with NVMe-oF
  Proceedings of the 2023 USENIX Annual Technical Conference, ATC 2023 2023
  +Save
• ROLLER: Fast and Efficient Tensor Compilation for Deep Learning
  Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2022 2022
  +Save
• XRP: In-Kernel Storage Functions with eBPF
  Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2022 2022
  +Save
• Platinum: A CPU-efficient concurrent garbage collector for tail-reduction of interactive services
  Proceedings of the 2020 USENIX Annual Technical Conference, ATC 2020 2020
  +Save
• ScissorGC: Scalable and efficient compaction for Java full garbage collection
  VEE 2019 - Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments 2019 DOI: 10.1145/3313808.3313820
  +Save
• Analysis and optimizations of Java full garbage collection
  Proceedings of the 9th Asia-Pacific Workshop on Systems, APSys 2018 2018 DOI: 10.1145/3265723.3265735
  +Save
• Espresso: Brewing Java for more non-volatility with non-volatile memory
  International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS 2018 DOI: 10.1145/3173162.3173201
  +Save