Online job scheduling for distributed machine learning in optical circuit switch networks. - Ling Liu; Hongfang Yu; Gang Sun 001; Huaman Zhou; Zonghang Li; Shouxi Luo (Knowl. Based Syst., 2020)

DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning. - Huaman Zhou; Zonghang Li; Qingqing Cai; Hongfang Yu; Shouxi Luo; Long Luo; Gang Sun 001 (Future Gener. Comput. Syst., 2021)

TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs. - Huaman Zhou; Weibo Cai; Zonghang Li; Hongfang Yu; Ling Liu; Long Luo; Gang Sun 001 (IEEE Trans. Netw. Serv. Manag., 2021)

ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers. - Zonghang Li; Huaman Zhou; Tianyao Zhou; Hongfang Yu; Zenglin Xu; Gang Sun 001 (IEEE Trans. Serv. Comput., 2022)

FedGSync: Jointly Optimized Weak Synchronization and Gradient Transmission for Fast Distributed Machine Learning in Heterogeneous WAN. - Huaman Zhou; Yihong He; Zhihao Zhang; Long Luo; Hongfang Yu; Gang Sun 001 (SMC, 2023)

NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs. - Huaman Zhou; Zonghang Li; Hongfang Yu; Long Luo; Gang Sun 001 (IEEE Trans. Serv. Comput., 2023)

Cube-fx: Mapping Taylor Expansion Onto Matrix Multiplier-Accumulators of Huawei Ascend AI Processors. - Yifeng Tang; Huaman Zhou; Zhuoran Ji; Cho-Li Wang (IEEE Trans. Parallel Distributed Syst., 2025)