About
I am a second-year Ph.D. student at UTNS (UT Austin Networked Systems group), advised by Prof. Aditya Akella and Venkat Arun.
I focus on learning directed operating systems and systems for machine learning. I do research for industry.
In 2023, I got my BS degree at Turing Class, Peking University, worked with Prof. Tong Yang.
Publications
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Accelerating Distributed Deep Learning using Lossless Homomorphic Compression.
Haoyu Li, Yuchen Xu, Jiayi Chen, Rohit Dwivedula, Wenfei Wu, Keqiang He, Aditya Akella, Daehyeok Kim.
Preprint. [Paper]
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ChainedFilter: Combining Membership Filters by Chain Rule.
Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella.
SIGMOD 2024. [Paper]
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StingySketch: a Sketch Framework for Accurate and Fast Frequency Estimation.
Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui.
VLDB 2022. [Paper]
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SteadySketch: Finding Steady Flows in Data Streams.
Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Shiqi Long, Tong Yang, Bin Cui.
IWQoS 2023. [Paper]
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Rencoder: A Space-time Efficient Range Filter with Local Encoder.
Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui.
ICDE 2023. [Paper]
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Wind-Bell Index: Towards Ultra-Fast Edge Query for Graph Databases.
Rui Qiu, Yi Ming, Yisen Hong, Haoyu Li, Tong Yang.
ICDE 2023. [Paper]
Experience
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Research Assistant. UT Austin, 2023-2024.
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Research Intern. Microsoft Corp., 2024 Summer.