Follow
Kun Yang
Kun Yang
Ph.D. Candidate
Verified email at virginia.edu - Homepage
Title
Cited by
Cited by
Year
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 íK, 2020
242020
Accelerating hybrid federated learning convergence under partial participation
J Bian, L Wang, K Yang, C Shen, J Xu
IEEE Transactions on Signal Processing, 2024
72024
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
52022
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
32024
Best arm identification for prompt learning under a limited budget
C Shi, K Yang, J Yang, C Shen
arXiv preprint arXiv:2402.09723, 2024
32024
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
32022
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
32022
Advancing RAN slicing with offline reinforcement learning
K Yang, S Yeh, M Zhang, J Sydir, J Yang, C Shen
arXiv preprint arXiv:2312.10547, 2023
22023
Harnessing the Power of Federated Learning in Federated Contextual Bandits
C Shi, R Zhou, K Yang, C Shen
arXiv preprint arXiv:2312.16341, 2023
12023
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
The system can't perform the operation now. Try again later.
Articles 1–10