Xinchen Wan

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Room 3661, HKUST

Clear Water Bay

Kowloon, Hong Kong SAR, China

I obtained my Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology in February 2025, supervised by Prof. Kai Chen. Before that, I received my B.Eng degree in Computer Science from Huazhong University of Science and Technology in 2018.

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

News

Feb 11, 2025 PhD thesis defense passed!
Jan 28, 2025 One co-authored paper Harmonia is accepted at ASPLOS 2025.
Dec 6, 2024 Our paper Leo is accepted at INFOCOM 2025.
Oct 3, 2024 One co-authored paper SING is accepted at ASPLOS 2025.
Aug 21, 2024 One co-authored paper Jury is accepted at EuroSys 2025.

Selected Publications

  1. __ASPLOS__
    Harmonia: A Unified Framework for Heterogeneous FPGA Acceleration in the Cloud
    Luyang Li, Heng Pan, Xinchen Wan, Kai Lv, Zilong Wang, Qian Zhao, and 6 more authors
    In Proc. ACM ASPLOS, 2025
    PDF
  2. __INFOCOM__
    A Generic and Efficient Communication Framework for Message-level In-Network Computing
    Xinchen Wan, Luyang Li, Han Tian, Xudong Liao, Xinyang Huang, Chaoliang Zeng, and 7 more authors
    In Proc. IEEE INFOCOM, 2025
    PDF
  3. __ASPLOS__
    Design and Operation of Shared Machine Learning Clusters on Campus
    Kaiqiang Xu, Decang Sun, Hao Wang, Zhenghang Ren, Xinchen Wan, Xudong Liao, and 3 more authors
    In Proc. ACM ASPLOS, 2025
    PDF
  4. __EuroSys__
    Achieving Fairness Generalizability for Learning-based Congestion Control with Jury
    Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, and 4 more authors
    In Proc. ACM EuroSys, 2025
    PDF
  5. __SIGCOMM__
    Fast, Scalable, and Accurate Rate Limiter for RDMA NICs
    Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, and 3 more authors
    In Proc. ACM SIGCOMM, 2024
    PDF
  6. __EuroSys__
    Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, and Kai Chen
    In Proc. ACM EuroSys, 2024
    PDF
  7. ___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 Proc. USENIX NSDI, 2024
    PDF
  8. ___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 Proc. USENIX NSDI, 2024
    PDF
  9. __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 Proc. ACM SIGMOD, 2023
    PDF
  10. ___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 Proc. USENIX NSDI, 2023
    PDF
  11. ___ICNP___
    DGS: Communication-Efficient Graph Sampling for Distributed GNN Training
    Xinchen Wan, Kai Chen, and Yiming Zhang
    In Proc. IEEE ICNP, 2022
    PDF
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