Distributed Learning Based Joint Communication and Computation Strategy of IoT Devices in Smart Cities. - Tianyi Liu; Ruyu Luo; Fangmin Xu; Chaoqiong Fan; Chenglin Zhao (Sensors, 2020)

Communication-Aware Path Design for Indoor Robots Exploiting Federated Deep Reinforcement Learning. - Ruyu Luo; Hui Tian 003; Wanli Ni (PIMRC, 2021)

Distributed RIS-Enhanced Cell-Free NOMA Networks. - Weilai Li; Wanli Ni; Ruyu Luo; Hui Tian 003; Zhaohui Yang 001; Chongwen Huang (GLOBECOM (Workshops), 2022)

Visualizing Multi-Agent Reinforcement Learning for Robotic Communication in Industrial IoT Networks. - Ruyu Luo; Wanli Ni; Hui Tian 003 (INFOCOM Workshops, 2022)

Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems. - Ruyu Luo; Wanli Ni; Hui Tian 003; Julian Cheng (IEEE Trans. Veh. Technol., 2022)

Joint Trajectory and Radio Resource Optimization for Autonomous Mobile Robots Exploiting Multi-Agent Reinforcement Learning. - Ruyu Luo; Wanli Ni; Hui Tian 003; Julian Cheng; Kwang-Cheng Chen (IEEE Trans. Commun., 2023)

Deep Reinforcement Learning Enables Joint Trajectory and Communication in Internet of Robotic Things. - Ruyu Luo; Hui Tian 003; Wanli Ni; Julian Cheng; Kwang-Cheng Chen (IEEE Trans. Wirel. Commun., 2024)

Reconfigurable Intelligent Surface for Internet of Robotic Things. - Wanli Ni; Ruyu Luo; Xinran Zhang; Peng Wang 152; Wen Wang 011; Hui Tian 003 (IEEE Internet Things Mag., 2025)