Li-Hsiang Shen and Yi-Hsuan Chiu, “Joint Active and Passive Beamforming for Energy-Efficient STARS with Quantization and Element Selection in ISAC Systems," under review in IEEE TCOM, 2025. [paper]

Jo-Wei Chiu, Po-Chen Wu, Li-Hsiang Shen, and Kai-Ten Feng, “Hierarchical Federated Reinforcement Learning for Vehicular Resource Allocation with Integrated Sensing, Computation and Communications," preparing.

Yu-Ting Li, An-Hung Hsiao, Li-Hsiang Shen, Kai-Ten Feng, You-Cheng Chen, Pei-Hua Wang, Shih-Cheng Lin, and Sheng-Fuh Chang, “Integrated Sensing and Communications for RIS-Assisted Wi-Fi Systems: A Deep Reinforcement Learning Approach,” in Proceedings of IEEE Global Communications Conference (GLOBECOM Workshops), Taipei, Taiwan, Dec. 2025.

Po-Chen Wu, Ting-Hui Wang, Li-Hsiang Shen, and Kai-Ten Feng, "Multi-Head Reinforcement Learning Based Resource Allocation for Integrated Sensing and Communications", in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey, Sep. 2025.

Chin-Hung Cheng, An-Hung Hsiao, Kai-Ten Feng, and Li-Hsiang Shen, "Reinforcement Learning for Energy Efficient Resource Allocation in ISAC Systems with Integrated WiFi-Radar", in Proceedings of IEEE International Conference on Communications (ICC), Montreal, Canada, Jun. 2025.

Po-Chen Wu, Li-Hsiang Shen, Kai-Ten Feng, and Chin-Yao Chan, "Federated Reinforcement Learning for Integrated Sensing and Communicaitons with Doubled STAR-RISs," in Proceedings of IEEE International Conference on Communications (ICC), Denver, CO, USA, Jun. 2024.