Xinchen Wan

CSE Ph.D., HKUST, Hong Kong SAR, China

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I obtained my Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology (HKUST) 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 (HUST) in 2018, supervised by Prof. Song Wu.

Research Interests

  • Machine Learning System
  • Hardware Acceleration
  • Datacenter Networking

News

Apr 25, 2025 One co-authored paper Pallas is accepted at ATC 2025.
Feb 11, 2025 PhD thesis defense passed!
Jan 28, 2025 One co-authored paper Harmonia is accepted at ASPLOS 2025.
Dec 06, 2024 Our paper Leo is accepted at INFOCOM 2025.
Oct 03, 2024 One co-authored paper SING is accepted at ASPLOS 2025.

Selected Publications

  1. ____ATC____
    Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping
    Xudong Liao, Han Tian, Xinchen Wan, Chaoliang Zeng, Hao Wang, Junxue Zhang, and 3 more authors
    In Proceedings of USENIX Annual Technical Conference (ATC 2025) , 2025
  2. __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 Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2025) , 2025
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  3. __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 Proceedings of the IEEE International Conference on Computer Communications (INFOCOM 2025) , 2025
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  4. __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 Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2025) , 2025
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  5. __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 Proceedings of the 20th ACM European Conference on Computer Systems (EuroSys 2025) , 2025
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  6. __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 Proceedings of the ACM Special Interest Group on Data Communication (SIGCOMM 2024) , 2024
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  7. __EuroSys__
    Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, and Kai Chen
    In Proceedings of the 19th ACM European Conference on Computer Systems (EuroSys 2024) , 2024
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  8. ___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 Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 2024) , 2024
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  9. ___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 Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 2024) , 2024
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  10. __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 Proceedings of the ACM on Management of Data (SIGMOD 2023) , 2023
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  11. ___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 Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2023) , 2023
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  12. ___ICNP___
    DGS: Communication-Efficient Graph Sampling for Distributed GNN Training
    Xinchen Wan, Kai Chen, and Yiming Zhang
    In Proceedings of the 30th IEEE International Conference on Network Protocols (ICNP 2022) , 2022
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