MSTNN: A Graph Learning Based Method for the Origin-Destination Traffic Prediction. - Chenming Yang; Zhiheng Zhou 002; Hui Wen 005; Liang Zhou 003 (ICC, 2020)

A Unified Federated Learning Framework for Wireless Communications: towards Privacy, Efficiency, and Security. - Hui Wen 005; Yue Wu; Chenming Yang; Hancong Duan; Shui Yu 001 (INFOCOM Workshops, 2020)

U-ASG: A Universal Method to Perform Adversarial Attack on Autoencoder based Network Anomaly Detection Systems. - Chenming Yang; Liang Zhou 003; Hui Wen 005; Yue Wu (INFOCOM Workshops, 2020)

H-VGRAE: A Hierarchical Stochastic Spatial-Temporal Embedding Method for Robust Anomaly Detection in Dynamic Networks. - Chenming Yang; Liang Zhou 003; Hui Wen 005; Zhiheng Zhou 002; Yue Wu (CoRR, 2020)

Transferring Inter-Class Correlation. - Hui Wen 005; Yue Wu; Chenming Yang; Jingjing Li 001; Yue Zhu; Xu Jiang 004; Hancong Duan (CoRR, 2020)

Communication-Efficient Federated Data Augmentation on Non-IID Data. - Hui Wen 005; Yue Wu; Jingjing Li 001; Hancong Duan (CVPR Workshops, 2022)

Transferring Inter-Class Correlation for Teacher-Student frameworks with flexible models. - Hui Wen 005; Yue Wu; Jingjing Li 001; Chenming Yang; Hancong Duan; Yang Yang 002 (Knowl. Based Syst., 2022)

A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks. - Chenming Yang; Hui Wen 005; Bryan Hooi; Yue Wu; Liang Zhou 003 (Neurocomputing, 2023)

Communication-Efficient Federated Learning on Non-IID Data Using Two-Step Knowledge Distillation. - Hui Wen 005; Yue Wu; Jia Hu 001; Zi Wang 010; Hancong Duan; Geyong Min (IEEE Internet Things J., 2023)

CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication. - Chenming Yang; Hui Wen 005; Bryan Hooi; Liang Zhou 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)