Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study. - Kun Yang 011; Cong Shen 001; Tie Liu 002 (INFOCOM Workshops, 2020)

Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. - Kun Yang 011; Donghao Li; Cong Shen 001; Jing Yang 002; Shu-Ping Yeh; Jerry Sydir (IEEECONF, 2022)

On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training. - Kun Yang 011; Cong Shen 001 (CISS, 2022)

Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. - Kun Yang 011; Cong Shen 001; Jing Yang 002; Shu-Ping Yeh; Jerry Sydir (ACSSC, 2023)

Teaching Reinforcement Learning Agents via Reinforcement Learning. - Kun Yang 011; Chengshuai Shi; Cong Shen 001 (CISS, 2023)

On the Convergence of Hybrid Server-Clients Collaborative Training. - Kun Yang 011; Shengbo Chen; Cong Shen 001 (IEEE J. Sel. Areas Commun., 2023)

Average Reward Reinforcement Learning for Wireless Radio Resource Management. - Kun Yang 011; Jing Yang 002; Cong Shen 001 (IEEECONF, 2024)

Advancing RAN Slicing with Offline Reinforcement Learning. - Kun Yang 011; Shu-Ping Yeh; Menglei Zhang; Jerry Sydir; Jing Yang 002; Cong Shen 001 (DySPAN, 2024)

Efficient Prompt Optimization Through the Lens of Best Arm Identification. - Chengshuai Shi; Kun Yang 011; Zihan Chen 002; Jundong Li; Jing Yang 002; Cong Shen 001 (NeurIPS, 2024)

Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models. - Chengshuai Shi; Kun Yang 011; Jing Yang 002; Cong Shen 001 (NeurIPS, 2024)

A Prototype Preceding Vehicle Identification System Development and Field Evaluation. - Zeyu Mu; Guancheng Tu; Austin Shi; Kun Yang 011; Yixin Sun; Cong Shen 001; B. Brian Park (VEHITS, 2024)

Best Arm Identification for Prompt Learning under a Limited Budget. - Chengshuai Shi; Kun Yang 011; Jing Yang 002; Cong Shen 001 (CoRR, 2024)

Harnessing the Power of Federated Learning in Federated Contextual Bandits. - Chengshuai Shi; Ruida Zhou; Kun Yang 011; Cong Shen 001 (Trans. Mach. Learn. Res., 2024)

Accelerating Hybrid Federated Learning Convergence Under Partial Participation. - Jieming Bian; Lei Wang 199; Kun Yang 011; Cong Shen 001; Jie Xu 001 (IEEE Trans. Signal Process., 2024)

Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets. - Kun Yang 011; Chengshuai Shi; Cong Shen 001; Jing Yang 002; Shu-Ping Yeh; Jaroslaw J. Sydir (IEEE Trans. Wirel. Commun., 2024)