| Deep reinforcement learning based wireless network optimization: A comparative study K Yang, C Shen, T Liu IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 26 | 2020 |
| Efficient prompt optimization through the lens of best arm identification C Shi, K Yang, Z Chen, J Li, J Yang, C Shen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 11* | 2024 |
| Accelerating hybrid federated learning convergence under partial participation J Bian, L Wang, K Yang, C Shen, J Xu IEEE Transactions on Signal Processing, 2024 | 10 | 2024 |
| Offline reinforcement learning for wireless network optimization with mixture datasets K Yang, C Shi, C Shen, J Yang, S Yeh, JJ Sydir IEEE Transactions on Wireless Communications, 2024 | 9 | 2024 |
| Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization K Yang, D Li, C Shen, J Yang, S Yeh, J Sydir 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1169-1174, 2022 | 8 | 2022 |
| On the convergence of hybrid server-clients collaborative training K Yang, S Chen, C Shen IEEE Journal on Selected Areas in Communications 41 (3), 802-819, 2022 | 7 | 2022 |
| Advancing RAN slicing with offline reinforcement learning K Yang, SP Yeh, M Zhang, J Sydir, J Yang, C Shen 2024 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2024 | 4 | 2024 |
| On the convergence of hybrid federated learning with server-clients collaborative training K Yang, C Shen 2022 56th Annual Conference on Information Sciences and Systems (CISS), 252-257, 2022 | 3 | 2022 |
| Harnessing the Power of Federated Learning in Federated Contextual Bandits C Shi, R Zhou, K Yang, C Shen Harnessing the Power of Federated Learning in Federated Contextual Bandits, 2024 | 1 | 2024 |
| Average Reward Reinforcement Learning for Wireless Radio Resource Management K Yang, J Yang, C Shen arXiv preprint arXiv:2501.06700, 2025 | | 2025 |
| Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models C Shi, K Yang, J Yang, C Shen arXiv preprint arXiv:2410.09701, 2024 | | 2024 |
| Teaching Reinforcement Learning Agents via Reinforcement Learning K Yang, C Shi, C Shen 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | | 2023 |
Cong ShenAssociate Professor, University of VirginiaVerified email at virginia.edu
