Xinchen Wan

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Room 3661, HKUST

Clear Water Bay

Kowloon, 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 Computer Science in Huazhong University of Science and Technology (HUST) in 2018.

My research interests include distributed machine learning system, data center networking, and hardware acceleration.

News

Jan 10, 2024 One co-authored papers Astraea accepted in EuroSys 2024.
Dec 6, 2023 Two co-authored papers MLT and Herald accepted in NSDI 2024.
Apr 28, 2023 One co-authored paper Tassel accepted in APNet 2023.
Feb 24, 2023 Our paper G3 accepted in SIGMOD 2023.
Jul 30, 2022 Our paper DGS accepted in ICNP 2022.

Selected Publications

  1. __EuroSys__
    Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, and Kai Chen
    In ACM EuroSys, 2024
    PDF
  2. ___NSDI___
    Accelerating Neural Recommendation Training with Embedding Scheduling
    Chaoliang Zeng, Xudong Liao, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, and 1 more author
    In USENIX NSDI, 2024
    PDF
  3. ___NSDI___
    Towards Domain-Specific Network Transport for Distributed DNN Training
    Hao Wang, Han Tian, Jingrong Chen, Xinchen Wan, Jiacheng Xia, Gaoxiong Zeng, and 4 more authors
    In USENIX NSDI, 2024
    PDF
  4. __SIGMOD__
    Scalable and Efficient Full-Graph GNN Training for Large Graphs
    Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, and Xin Jin
    In ACM SIGMOD, 2023
    PDF
  5. ___NSDI___
    SRNIC: A scalable architecture for RDMA NICs
    Zilong Wang, Layong Luo, Qingsong Ning, Chaoliang Zeng, Wenxue Li, Xinchen Wan, and 5 more authors
    In USENIX NSDI, 2023
    PDF
  6. ___ICNP___
    DGS: Communication-Efficient Graph Sampling for Distributed GNN Training
    Xinchen Wan, Kai Chen, and Yiming Zhang
    In IEEE ICNP, 2022
    PDF