Hao WANG

wh1.jpg

Room 3661, HKUST

Clear Water Bay,

Kowloon, Hong Kong SAR

I am a Ph.D candidate in Hong Kong University of Science and Technology (HKUST), advised by Prof. Kai Chen in intelligent System and networkING Lab (iSING Lab). Before that, I received my Bachelor of Science in Computer Science in Peking University (Outstanding Graduate) in 2019.

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

News

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 WangHan TianJingrong ChenXinchen Wan, Jiacheng Xia, Gaoxiong ZengWei BaiJunchen Jiang, Yong Wang, and Kai Chen
    In 21th USENIX Symposium on Networked Systems Design and Implementation, 2024
  2. __NSDI__
    Accelerating Neural Recommendation Training with Embedding Scheduling
    Chaoliang Zeng*Xudong Liao*, Xiaodian Cheng, Han TianXinchen WanHao Wang, and Kai Chen
    In 21th USENIX Symposium on Networked Systems Design and Implementation, 2024
  3. __ICNP__
    Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation
    Hao Wang, Yuxuan Qin, ChonLam LaoYanfang LeWenfei Wu, and Kai Chen
    IEEE 31th International Conference on Network Protocols, 2023
  4. __INFOCOM__
    Autobyte: Automatic Configuration for Optimal Communication Scheduling in DNN Training
    Yiqing MaHao Wang, Yiming Zhang, and Kai Chen
    In IEEE International Conference on Computer Communications, 2022
  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
  6. __APNET__
    Rat-resilient Allreduce Tree for Distributed Machine Learning
    In 4th Asia-Pacific Workshop on Networking, 2020