Kun Yang - RankMe

21 papers A* 2C 1Misc 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Average Reward Reinforcement Learning for Wireless Radio Resource Management. CoRR Kun Yang, Jing Yang, Cong Shen
2024	C	`conf`	A Prototype Preceding Vehicle Identification System Development and Field Evaluation. VEHITS Zeyu Mu, Guancheng Tu, Austin Shi, Kun Yang, Yixin Sun, Cong Shen, B. Brian Park
2024	J	`jnl`	Accelerating Hybrid Federated Learning Convergence Under Partial Participation. IEEE Trans. Signal Process. Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
2024	—	`conf`	Advancing RAN Slicing with Offline Reinforcement Learning. DySPAN Kun Yang, Shu-Ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen
2024	—	`conf`	Average Reward Reinforcement Learning for Wireless Radio Resource Management. IEEECONF Kun Yang, Jing Yang, Cong Shen
2024	J	`jnl`	Best Arm Identification for Prompt Learning under a Limited Budget. CoRR Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
2024	A*	`conf`	Efficient Prompt Optimization Through the Lens of Best Arm Identification. NeurIPS Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
2024	J	`jnl`	Harnessing the Power of Federated Learning in Federated Contextual Bandits. Trans. Mach. Learn. Res. Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
2024	J	`jnl`	Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets. IEEE Trans. Wirel. Commun. Kun Yang, Chengshuai Shi, Cong Shen, Jing Yang, Shu-Ping Yeh, Jaroslaw J. Sydir
2024	A*	`conf`	Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models. NeurIPS Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
2024	J	`jnl`	Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models. CoRR Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
2023	J	`jnl`	Accelerating Hybrid Federated Learning Convergence under Partial Participation. CoRR Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
2023	J	`jnl`	Advancing RAN Slicing with Offline Reinforcement Learning. CoRR Kun Yang, Shu-Ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen
2023	J	`jnl`	Harnessing the Power of Federated Learning in Federated Contextual Bandits. CoRR Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
2023	Misc	`conf`	Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. ACSSC Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
2023	J	`jnl`	Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. CoRR Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
2023	J	`jnl`	On the Convergence of Hybrid Server-Clients Collaborative Training. IEEE J. Sel. Areas Commun. Kun Yang, Shengbo Chen, Cong Shen
2023	Misc	`conf`	Teaching Reinforcement Learning Agents via Reinforcement Learning. CISS Kun Yang, Chengshuai Shi, Cong Shen
2022	—	`conf`	Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. IEEECONF Kun Yang, Donghao Li, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
2022	Misc	`conf`	On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training. CISS Kun Yang, Cong Shen
2020	—	`conf`	Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study. INFOCOM Workshops Kun Yang, Cong Shen, Tie Liu