Haoyu Li

PhD Student Department of Computer Science, The University of Texas at Austin Austin, TX E-mail: lhy@utexas.edu Research Interests: • Machine Learning for Systems • Systems for Machine Learning Google Scholar

About me

I am a third-year Ph.D. student at UTNS (UT Austin Networked Systems group), advised by Prof. Aditya Akella and Prof. Venkat Arun.

My research applies AI techniques to improve performance (e.g., throughput, latency) and usability of modern computer systems, such as data analytics, ML training/serving frameworks, OS, and networks.

In 2023, I got my BS degree at Turing Class, Peking University, worked with Prof. Tong Yang.

Preprints

1. Haoyu Li, Srikanth Kandula, Maria Angels de Luis Balaguer, Aditya Akella, Venkat Arun.
   Speculative Ad-hoc Querying. [Code]
   
   
2. Haoyu Li, Yuchen Xu, Jiayi Chen, Rohit Dwivedula, Wenfei Wu, Keqiang He, Aditya Akella, Daehyeok Kim.
   Accelerating Distributed Deep Learning using Lossless Homomorphic Compression.
   

Peer-reviewed Publications

1. Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella.
   ChainedFilter: Combining Membership Filters by Chain Rule.
   In Proceedings of the ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2024.
   
   
2. Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui.
   StingySketch: a Sketch Framework for Accurate and Fast Frequency Estimation.
   In Proceedings of the VLDB Endowment (PVLDB), 2022.

Experience

1. Research Assistant. UT Austin, 2023-2024.
   
2. Research Intern. Microsoft Corp., 2024 Summer.

Last update: July 26, 2025.