Xudong Liao
PhD Candidate, HKUST, Hong Kong SAR, China
I am a Ph.D candidate in Hong Kong University of Science and Technology (HKUST), advised by Prof. Kai Chen. Before that, I received my B.Eng in Software Engineering in Wuhan University (Outstanding Graduate) in 2020.
In my research projects, I focus on:
- developing application-oriented optimizations for distributed systems, including Herald. These systems are designed to enhance performance by leveraging unique application characteristics, such as utilizing embedding access patterns in DLRM training within Herald.
- building performant congestion control (CC) schemes using reinforcement learning techniques, including Astraea, Spine, MOCC. These initiatives are driven by my goal to make Deep Reinforcement Learning (DRL)-based CC schemes fair, efficient and also practical for real-world deployment.
I was fortunate to be advised by Prof. Yanjiao Chen during my time at WHU. Additionally, I am fortunate to collaborate closely with Prof. Guyue Liu from Peking University and Dr. Zhizhen Zhong from MIT on several recent projects.
Research Interests
- Distributed Machine Learning System
- Congestion Control
- Datacenter Networking
news
Jan 10, 2024 | Our paper Astraea accepted in EuroSys 2024! |
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Dec 07, 2023 | Co-first paper Herald accepted in NSDI 2024! |
Feb 24, 2023 | Co-authored paper G3 accepted in SIGMOD 2023! |
Nov 30, 2022 | Co-first paper Spine accepted in CoNEXT 2022! |
selected publications
* equal contribution