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2020 – today
- 2026
[j7]Honggang Yang
, Cheng Lian, Bingrong Xu, Ruijin Ding, Zhigang Zeng:
PowerDiffuser: Collaborative Contrastive-Reconstruction Self-Supervised Learning for Robust Power Load Signal Representation. IEEE Trans. Ind. Informatics 22(2): 1461-1472 (2026)- 2025
- [j6]Honggang Yang, Cheng Lian, Bingrong Xu, Ruijin Ding, Pengbo Zhao, Zhigang Zeng:
Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data. IEEE Trans. Smart Grid 16(3): 2439-2450 (2025) - [i2]Hongliang Lu, Yuhang Wen, Pengyu Cheng, Ruijin Ding, Haotian Xu, Jiaqi Guo, Chutian Wang, Haonan Chen, Xiaoxi Jiang, Guanjun Jiang:
Search Self-play: Pushing the Frontier of Agent Capability without Supervision. CoRR abs/2510.18821 (2025) - 2023
- [c4]Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Fangsheng Huang:
Adversarial Counterfactual Environment Model Learning. NeurIPS 2023 - 2022
- [j5]Ruijin Ding, Yadong Xu, Feifei Gao, Xuemin Shen:
Trajectory Design and Access Control for Air-Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning. IEEE Internet Things J. 9(8): 5785-5798 (2022) - [j4]Ruijin Ding, Jiawei Chen, Wen Wu, Jun Liu, Feifei Gao, Xuemin Shen:
Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach. IEEE Trans. Veh. Technol. 71(9): 10059-10072 (2022) - [i1]Xiong-Hui Chen, Yang Yu, Zheng-Mao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Hongqiu Wu, Rong-Jun Qin, Ruijin Ding, Fangsheng Huang:
Adversarial Counterfactual Environment Model Learning. CoRR abs/2206.04890 (2022) - 2021
- [c3]Ruijin Ding, Feifei Gao, Guanghua Yang, Xuemin Sherman Shen:
Air-Ground Coordination Communication by Multi-Agent Deep Reinforcement Learning. ICC 2021: 1-6 - 2020
- [j3]Yu Zhang, Zhiyu Mou, Feifei Gao, Jing Jiang, Ruijin Ding, Zhu Han:
UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 69(10): 11599-11611 (2020) - [j2]Ruijin Ding, Feifei Gao, Xuemin Sherman Shen:
3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 19(12): 7796-7809 (2020) - [c2]Ruijin Ding, Feifei Gao, Xuemin Sherman Shen:
Deep Reinforcement Learning Based 3D UAV Trajectory Design and Frequency Band Allocation. GLOBECOM 2020: 1-6 - [c1]Ruijin Ding, Yuwen Yang, Jun Liu, Hongyan Li, Feifei Gao:
Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach. ICNC 2020: 932-937
2010 – 2019
- 2019
- [j1]Ruijin Ding, Yadong Xu, Feifei Gao, Xuemin Shen, Wen Wu:
Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic. IEEE Access 7: 37109-37120 (2019)
Coauthor Index
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