Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic. - Ruijin Ding; Yadong Xu; Feifei Gao; Xuemin Shen; Wen Wu 003 (IEEE Access, 2019)

Deep Reinforcement Learning Based 3D UAV Trajectory Design and Frequency Band Allocation. - Ruijin Ding; Feifei Gao; Xuemin Sherman Shen (GLOBECOM, 2020)

Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach. - Ruijin Ding; Yuwen Yang; Jun Liu 063; Hongyan Li 001; Feifei Gao (ICNC, 2020)

UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning. - Yu Zhang 047; Zhiyu Mou; Feifei Gao; Jing Jiang 026; Ruijin Ding; Zhu Han 001 (IEEE Trans. Veh. Technol., 2020)

3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach. - Ruijin Ding; Feifei Gao; Xuemin Sherman Shen (IEEE Trans. Wirel. Commun., 2020)

Air-Ground Coordination Communication by Multi-Agent Deep Reinforcement Learning. - Ruijin Ding; Feifei Gao; Guanghua Yang; Xuemin Sherman Shen (ICC, 2021)

Trajectory Design and Access Control for Air-Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning. - Ruijin Ding; Yadong Xu; Feifei Gao; Xuemin Shen (IEEE Internet Things J., 2022)

Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach. - Ruijin Ding; Jiawei Chen; Wen Wu 003; Jun Liu 063; Feifei Gao; Xuemin Shen (IEEE Trans. Veh. Technol., 2022)

Adversarial Counterfactual Environment Model Learning. - Xiong-Hui Chen; Yang Yu 001; Zhengmao Zhu; Zhihua Yu; Zhenjun Chen; Chenghe Wang; Yinan Wu; Rong-Jun Qin; Hongqiu Wu; Ruijin Ding; Fangsheng Huang (NeurIPS, 2023)

Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data. - Honggang Yang; Cheng Lian; Bingrong Xu; Ruijin Ding; Pengbo Zhao; Zhigang Zeng (IEEE Trans. Smart Grid, 2025)