Flow-aware explicit congestion notification for datacenter networks. - Pan Zhou 003; Hongfang Yu; Gang Sun 001; Long Luo; Shouxi Luo; Zilong Ye (Clust. Comput., 2019)

JPAS: Job-progress-aware flow scheduling for deep learning clusters. - Pan Zhou 003; Xinshu He; Shouxi Luo; Hongfang Yu; Gang Sun 001 (J. Netw. Comput. Appl., 2020)

Grouper: Accelerating Hyperparameter Searching in Deep Learning Clusters With Network Scheduling. - Pan Zhou 003; Hongfang Yu; Gang Sun 001 (IEEE Trans. Netw. Serv. Manag., 2020)

Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. - Pan Zhou 003; Qian Lin 002; Dumitrel Loghin; Beng Chin Ooi; Yuncheng Wu; Hongfang Yu (ICDE, 2021)

Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters. - Yihong He; Weibo Cai; Pan Zhou 003; Gang Sun 001; Shouxi Luo; Hongfang Yu; Mohsen Guizani (IEEE Trans. Netw. Serv. Manag., 2022)

Topologies in distributed machine learning: Comprehensive survey, recommendations and future directions. - Ling Liu; Pan Zhou 003; Gang Sun 001; Xi Chen 026; Tao Wu 010; Hongfang Yu; Mohsen Guizani (Neurocomputing, 2024)

PSscheduler: A parameter synchronization scheduling algorithm for distributed machine learning in reconfigurable optical networks. - Ling Liu; Xiaoqiong Xu; Pan Zhou 003; Xi Chen 026; Daji Ergu; Hongfang Yu; Gang Sun 001; Mohsen Guizani (Neurocomputing, 2025)