Augmenting Distributed AI Training with Loss-tolerant Transmission. - Zixuan Chen; Lei Shi 031; Yongbo Gao; Xuandong Liu; Xin Ai 008; Sen Liu 002; Yang Xu 010 (ACM TUR-C, 2023)

Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol. - Zixuan Chen; Lei Shi 031; Xuandong Liu; Xin Ai 008; Sen Liu 002; Yang Xu 010 (IWQoS, 2023)

MUSE: A Runtime Incrementally Reconfigurable Network Adapting to HPC Real-Time Traffic. - Zijian Li 003; Zixuan Chen; Yiying Tang; Xin Ai 008; Yuanyi Zhu; Zhigao Zhao; Jiang Shao; Guowei Liu; Sen Liu 002; Bin Liu 001; Yang Xu 010 (IPDPS, 2024)

R-PFC: Enhancing RDMA Network With Restricted And Fine-grained PFC. - Xinyi Li; Minglin Li; Xin Ai 008; Yongbo Gao; Jiang Shao; Zixuan Chen; Sen Liu 002; Yang Xu 010 (IWQoS, 2024)

NetJIT: Bridging the Gap from Traffic Prediction to Preknowledge for Distributed Machine Learning. - Xin Ai 008; Zijian Li 003; Yuanyi Zhu; Zixuan Chen; Sen Liu 002; Yang Xu 010 (Proc. ACM Meas. Anal. Comput. Syst., 2025)