Hypergraph-Based Resource-Efficient Collaborative Reinforcement Learning for B5G Massive IoT. - Fan Yang 031; Cheng Yang 017; Jie Huang 018; Keping Yu; Sahil Garg; Mubarak Alrashoud (IEEE Open J. Commun. Soc., 2023)

Reinforcement Learning Based Resource Management for 6G-Enabled mIoT With Hypergraph Interference Model. - Jie Huang 018; Cheng Yang 017; Shilong Zhang; Fan Yang 031; Osama Alfarraj; Valerio Frascolla; Shahid Mumtaz; Keping Yu (IEEE Trans. Commun., 2024)

Mutual-Interference-Aware Throughput Enhancement in Massive IoT: A Graph Reinforcement Learning Framework. - Fan Yang 031; Cheng Yang 017; Jie Huang 018; Osama Alfarraj; Amr Tolba; Keping Yu; Mohsen Guizani (IEEE Internet Things J., 2024)

Resource Allocation in V2V Communication via Federated Multi-Agent Reinforcement Learning. - Shilong Zhang; Cheng Yang 017; Tao Yu; Tong Liu; Jinhua Chen; Keping Yu; Mohsen Guizani (CCNC, 2025)

Deep reinforcement learning-based spectrum resource allocation for the web of healthcare things with massive integrating wearable gadgets. - Jie Huang 018; Cheng Yang 017; Fan Yang 031; Shilong Zhang; Amr Tolba; Alireza Jolfaei; Keping Yu (Digit. Commun. Networks, 2025)