Kun Yang

According to our database, Kun Yang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets.

Kun Yang, Chengshuai Shi, Cong Shen, Jing Yang, Shu-Ping Yeh, Jaroslaw J. Sydir

IEEE Trans. Wirel. Commun., October, 2024

Accelerating Hybrid Federated Learning Convergence Under Partial Participation.

Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu

IEEE Trans. Signal Process., 2024

Harnessing the Power of Federated Learning in Federated Contextual Bandits.

Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen

Trans. Mach. Learn. Res., 2024

Best Arm Identification for Prompt Learning under a Limited Budget.

Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen

CoRR, 2024

A Prototype Preceding Vehicle Identification System Development and Field Evaluation.

Zeyu Mu, Guancheng Tu, Austin Shi, Kun Yang, Yixin Sun, Cong Shen, B. Brian Park

Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models.

Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Prompt Optimization Through the Lens of Best Arm Identification.

Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing RAN Slicing with Offline Reinforcement Learning.

Kun Yang, Shu-Ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024

Average Reward Reinforcement Learning for Wireless Radio Resource Management.

Kun Yang, Jing Yang, Cong Shen

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

On the Convergence of Hybrid Server-Clients Collaborative Training.

Kun Yang, Shengbo Chen, Cong Shen

IEEE J. Sel. Areas Commun., March, 2023

Teaching Reinforcement Learning Agents via Reinforcement Learning.

Kun Yang, Chengshuai Shi, Cong Shen

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets.

Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training.

Kun Yang, Cong Shen

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization.

Kun Yang, Donghao Li, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2020

Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study.

Kun Yang, Cong Shen, Tie Liu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020