FedPrune: Personalized and Communication-Efficient Federated Learning on Non-IID Data. - Yang Liu 038; Yi Zhao 011; Guangmeng Zhou; Ke Xu 002 (ICONIP (5), 2021)

AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning. - Guangmeng Zhou; Ke Xu 002; Qi Li 002; Yang Liu 038; Yi Zhao 011 (CoRR, 2021)

An Efficient Design of Intelligent Network Data Plane. - Guangmeng Zhou; Zhuotao Liu; Chuanpu Fu; Qi Li 002; Ke Xu 002 (USENIX Security Symposium, 2023)

FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning. - Guangmeng Zhou; Qi Li 002; Yang Liu 038; Yi Zhao 011; Qi Tan 003; Su Yao; Ke Xu 002 (IEEE/ACM Trans. Netw., 2024)

PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters. - Xinle Du; Tong Li 014; Guangmeng Zhou; Zhuotao Liu; Hanlin Huang; Xiangyu Gao; Mowei Wang; Kun Tan; Ke Xu 002 (NSDI, 2025)

TrafficFormer: An Efficient Pre-trained Model for Traffic Data. - Guangmeng Zhou; Xiongwen Guo; Zhuotao Liu; Tong Li 014; Qi Li 002; Ke Xu 002 (SP, 2025)