Machine Learning-Based Resource Optimization for D2D Communication Underlaying Networks. - Lingting Zhu; Chonghe Liu; Jiantao Yuan; Guanding Yu (VTC Fall, 2020)

A New Distributed Method for Training Generative Adversarial Networks. - Jinke Ren; Chonghe Liu; Guanding Yu; Dongning Guo (CoRR, 2021)

Ensemble-Based Distributed Learning for Generative Adversarial Networks. - Chonghe Liu; Jinke Ren; Guanding Yu (VTC Spring, 2022)

Joint Model Pruning and Device Selection for Communication-Efficient Federated Edge Learning. - Shengli Liu 002; Guanding Yu; Rui Yin 001; Jiantao Yuan; Lei Shen 003; Chonghe Liu (IEEE Trans. Commun., 2022)

Adaptive Cluster Head Selection and Spectrum Allocation for D2D-Enabled Collaborative Learning. - Chonghe Liu; Shengli Liu 002; Dingzhu Wen; Guanding Yu (GLOBECOM (Workshops), 2023)

Spectrum Requirement Prediction for Future WLAN based IoT Applications. - Chonghe Liu; Shengli Liu 002; Guanding Yu (ICCC Workshops, 2023)

Efficient Collaborative Learning Over Unreliable D2D Network: Adaptive Cluster Head Selection and Resource Allocation. - Shengli Liu 002; Chonghe Liu; Dingzhu Wen; Guanding Yu (IEEE Trans. Commun., 2025)