RAT - Resilient Allreduce Tree for Distributed Machine Learning. - Xinchen Wan; Hong Zhang 025; Hao Wang 116; Shuihai Hu; Junxue Zhang 001; Kai Chen 005 (APNet, 2020)

Domain-specific Communication Optimization for Distributed DNN Training. - Hao Wang 116; Jingrong Chen 004; Xinchen Wan; Han Tian; Jiacheng Xia; Gaoxiong Zeng; Weiyan Wang; Kai Chen 005; Wei Bai 001; Junchen Jiang (CoRR, 2020)

TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks. - Kaiqiang Xu; Xinchen Wan; Hao Wang 116; Zhenghang Ren; Xudong Liao; Decang Sun; Chaoliang Zeng; Kai Chen 005 (CoRR, 2021)

DGS: Communication-Efficient Graph Sampling for Distributed GNN Training. - Xinchen Wan; Kai Chen 005; Yiming Zhang 003 (ICNP, 2022)

Accurate and Scalable Rate Limiter for RDMA NICs. - Zilong Wang 007; Xinchen Wan; Chaoliang Zeng; Kai Chen 005 (APNet, 2023)

SRNIC: A Scalable Architecture for RDMA NICs. - Zilong Wang 007; Layong Luo; Qingsong Ning; Chaoliang Zeng; Wenxue Li; Xinchen Wan; Peng Xie; Tao Feng; Ke Cheng; Xiongfei Geng; Tianhao Wang 025; Weicheng Ling; et al. (NSDI, 2023)

Scalable and Efficient Full-Graph GNN Training for Large Graphs. - Xinchen Wan; Kaiqiang Xu; Xudong Liao; Yilun Jin; Kai Chen 005; Xin Jin 008 (Proc. ACM Manag. Data, 2023)

Astraea: Towards Fair and Efficient Learning-based Congestion Control. - Xudong Liao; Han Tian; Chaoliang Zeng; Xinchen Wan; Kai Chen 005 (EuroSys, 2024)

Towards Domain-Specific Network Transport for Distributed DNN Training. - Hao Wang 116; Han Tian; Jingrong Chen 004; Xinchen Wan; Jiacheng Xia; Gaoxiong Zeng; Wei Bai 001; Junchen Jiang; Yong Wang 046; Kai Chen 005 (NSDI, 2024)

Accelerating Neural Recommendation Training with Embedding Scheduling. - Chaoliang Zeng; Xudong Liao; Xiaodian Cheng; Han Tian; Xinchen Wan; Hao Wang 116; Kai Chen 005 (NSDI, 2024)

Fast, Scalable, and Accurate Rate Limiter for RDMA NICs. - Zilong Wang 007; Xinchen Wan; Luyang Li; Yijun Sun; Peng Xie; Xin Wei; Qingsong Ning; Junxue Zhang 001; Kai Chen 005 (SIGCOMM, 2024)

Towards Fair and Efficient Learning-based Congestion Control. - Xudong Liao; Han Tian; Chaoliang Zeng; Xinchen Wan; Kai Chen 005 (CoRR, 2024)

Harmonia: A Unified Framework for Heterogeneous FPGA Acceleration in the Cloud. - Luyang Li; Heng Pan; Xinchen Wan; Kai Lv; Zilong Wang 007; Qian Zhao 001; Feng Ning; Qingsong Ning; Shideng Zhang; Zhenyu Li 001; Layong Luo; Gaogang Xie (ASPLOS (2), 2025)

Design and Operation of Shared Machine Learning Clusters on Campus. - Kaiqiang Xu; Decang Sun; Hao Wang 116; Zhenghang Ren; Xinchen Wan; Xudong Liao; Zilong Wang 007; Junxue Zhang 001; Kai Chen 005 (ASPLOS (1), 2025)

Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. - Han Tian; Xudong Liao; Decang Sun; Chaoliang Zeng; Yilun Jin; Junxue Zhang 001; Xinchen Wan; Zilong Wang 007; Yong Wang 046; Kai Chen 005 (EuroSys, 2025)

A Generic and Efficient Communication Framework for Message-Level In-Network Computing. - Xinchen Wan; Luyang Li; Han Tian; Xudong Liao; Xinyang Huang; Chaoliang Zeng; Zilong Wang 007; Xinyu Yang; Ke Cheng; Qingsong Ning; Guyue Liu; Layong Luo; et al. (INFOCOM, 2025)

Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping. - Xudong Liao; Han Tian; Xinchen Wan; Chaoliang Zeng; Hao Wang 116; Junxue Zhang 001; Mengyu Ma; Guyue Liu; Kai Chen 005 (USENIX ATC, 2025)

mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training. - Xudong Liao; Yijun Sun; Han Tian; Xinchen Wan; Yilun Jin; Zilong Wang 007; Zhenghang Ren; Xinyang Huang; Wenxue Li; Kin Fai Tse; Zhizhen Zhong; Guyue Liu; et al. (CoRR, 2025)