Haoyu Li
Scholar

Haoyu Li

Google Scholar ID: g4dsmuoAAAAJ
UT Austin
ML4SysComputer NetworksDatabases
Citations & Impact
All-time
Citations
103
 
H-index
5
 
i10-index
2
 
Publications
8
 
Co-authors
4
list available
Resume
Academic Achievements
  • - Preprints:
  • - Speculative Ad-hoc Querying
  • - Accelerating Distributed Deep Learning using Lossless Homomorphic Compression
  • - Peer-reviewed Publications:
  • - ChainedFilter: Combining Membership Filters by Chain Rule, SIGMOD 2024
  • - StingySketch: a Sketch Framework for Accurate and Fast Frequency Estimation, PVLDB 2022
Research Experience
  • - Research Assistant: UT Austin, 2023-2024
  • - Research Intern: Microsoft Corp., 2024 Summer
Education
  • - Ph.D. Student: Department of Computer Science, The University of Texas at Austin, 2023-Present, Advisors: Prof. Aditya Akella and Prof. Venkat Arun
  • - B.S. Degree: Turing Class, Peking University, 2023, Advisor: Prof. Tong Yang
Background
  • - Research Interests: Machine Learning for Systems, Systems for Machine Learning
  • - About: A third-year Ph.D. student at UTNS (UT Austin Networked Systems group), advised by Prof. Aditya Akella and Prof. Venkat Arun. His research is generously supported by the Amazon AI PhD Fellowship.
  • - Research Focus: Applying 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.