NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration. - Shuo Liu 002; Qiaoling Wang; Junyi Zhang 005; Qinliang Lin; Yao Liu 006; Meng Xu; Ray C. C. Cheung; Jianfei He (CoRR, 2020)

Scalable Fully Pipelined Hardware Architecture for In-Network Aggregated AllReduce Communication. - Yao Liu 006; Junyi Zhang 005; Shuo Liu 002; Qiaoling Wang; Wangchen Dai; Ray Chak-Chung Cheung (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

In-Network Aggregation with Transport Transparency for Distributed Training. - Shuo Liu 002; Qiaoling Wang; Junyi Zhang 005; Wenfei Wu; Qinliang Lin; Yao Liu 006; Meng Xu; Marco Canini; Ray C. C. Cheung; Jianfei He (ASPLOS (3), 2023)

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks. - Wenxue Li; Junyi Zhang 005; Gaoxiong Zeng; Yufei Liu; Zilong Wang 007; Chaoliang Zeng; Pengpeng Zhou; Qiaoling Wang; Kai Chen 005 (CoRR, 2023)

Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast. - Wenxue Li; Junyi Zhang 005; Yufei Liu; Gaoxiong Zeng; Zilong Wang 007; Chaoliang Zeng; Pengpeng Zhou; Qiaoling Wang; Kai Chen 005 (HPCA, 2024)