Hao WANG

wh1.jpg

Room 3661, HKUST

Clear Water Bay,

Kowloon, Hong Kong SAR

I am currently working at Huawei Hong Kong Research Center, focusing on Networking & AI infrastructure. I obtained my Ph.D. in Computer Science from the Hong Kong University of Science and Technology (HKUST) in 2025, where I was advised by Prof. Kai Chen at the intelligent System and networkING Lab (iSING Lab). Prior to my doctoral studies, I received my Bachelor of Science in Computer Science from Peking University in 2019 as an Outstanding Graduate.

My research interests include distributed machine learning system, data center networking, programmable switch and large language models.

News

Dec 3, 2024 INAaaS accepted in INFOCOM 2025.
Oct 4, 2024 TACC accepted in ASPLOS 2025.
Dec 7, 2023 MLT accepted in NSDI 2024.
Dec 7, 2023 Herald accepted in NSDI 2024.
Jul 29, 2023 DSA accepted in ICNP 2023.

Selected Publications

  1. __NSDI__
    Towards Domain-Specific Network Transport for Distributed DNN Training
    Hao Wang, Han Tian, Jingrong Chen, Xinchen Wan, Jiacheng Xia, Gaoxiong Zeng, Wei Bai, Junchen Jiang, Yong Wang, and Kai Chen
    In 21th USENIX Symposium on Networked Systems Design and Implementation, 2024
    PDF
  2. __NSDI__
    Accelerating Neural Recommendation Training with Embedding Scheduling
    Chaoliang Zeng*, Xudong Liao*, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, and Kai Chen
    In 21th USENIX Symposium on Networked Systems Design and Implementation, 2024
    PDF
  3. __ICNP__
    Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation
    Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, and Kai Chen
    IEEE 31th International Conference on Network Protocols, 2023
    PDF
  4. __INFOCOM__
    Autobyte: Automatic Configuration for Optimal Communication Scheduling in DNN Training
    Yiqing Ma, Hao Wang, Yiming Zhang, and Kai Chen
    In IEEE International Conference on Computer Communications, 2022
    PDF
  5. __WWW__
    QCluster: Clustering Packets for Flow Scheduling
    Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang, and Nicholas Zhang
    In Proceedings of the ACM Web Conference, 2022
    PDF
  6. __APNET__
    Rat-resilient Allreduce Tree for Distributed Machine Learning
    Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, and Kai Chen
    In 4th Asia-Pacific Workshop on Networking, 2020
    PDF