JOURNAL PAPERS

1. Li-Hsiang Shen, An-Hung Hsiao, Kai-Jui Chen, Tsung-Ting Tsai and Kai-Ten Feng, “BTS: Bifold Teacher-Student in Semi-Supervised Learning for Indoor Two-Room Presence Detection Under Time-Varying CSI,” in IEEE Internet of Things Journal, vol. 12, no. 7, pp. 8789-8806, Apr. 2025. [paper]

2. Li-Hsiang Shen, Kai-Ten Feng, Ta-Sung Lee, Yuan-Chun Lin, Shih-Cheng Lin, Chia-Chan Chang and Sheng-Fuh Chang, “AI-Enabled Unmanned Vehicle-Assisted Reconfigurable Intelligent Surfaces: Deployment, Prototyping and Experiments,” in IEEE Network, vol. 38, no. 6, pp. 289-299, Nov. 2024. (Cross-Domain Cooperation with CCU, Taiwan) [paper]

3. Shih-Wei Yang, Li-Hsiang Shen, Hong-Han Shuai, and Kai-Ten Feng, "CMAF: Cross-Modal Augmentation via Fusion for Underwater Acoustic Image Recognition," in ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 20, no. 5, pp. 1-25, May 2024. [paper] 

4. Li-Hsiang Shen, An-Hung Hsiao, Kuan-I Lu, and Kai-Ten Feng, "Attention-Enhanced Deep Learning for Device-Free Through-the-Wall Presence Detection Using Indoor WiFi System," in IEEE Sensors Journal, vol. 24, no. 4, pp. 5288-5302, Feb. 2024. [paper]

5. Li-Hsiang Shen, Chia-Che Hsieh, An-Hung Hsiao, and Kai-Ten Feng, “CRONOS: Colorization and Contrastive Learning Enhanced NLoS Human Presence Detection using Wi-Fi CSI Signals,” in IEEE Internet of Things Journal, vol. 11, no. 3, pp. 5491-5510, Feb. 2024. [paper]

6. An-Hung Hsiao, Li-Hsiang Shen, Chen-Yi Chang, Chun-Jie Chiu, and Kai-Ten Feng, “SALC: Skeleton-Assisted Learning-Based Clustering for Time-Varying Indoor Localization,” in IEEE Transactions on Network Science and Engineering, vol. 11, no. 1, pp. 439-452, Jan.-Feb. 2024. [paper]

7. Li-Hsiang Shen, An-Hung Hsiao, Fang-Yu Chu, and Kai-Ten Feng, "Time-Selective RNN for Device-Free Multi-Room Human Presence Detection Using WiFi CSI," in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-17,Jan. 2024. [paper]

8. Li-Hsiang Shen, Kai-Ten Feng, and Lajos Hanzo, “Five Facets of 6G: Research Challenges and Opportunities,” in ACM Computing Surveys, vol. 55, no. 11, pp. 1-39, Feb. 2023. (International Cooperation with Uni. of Southampton, UK) [paper]

9. Li-Hsiang Shen, Ting-Wei Chang, Kai-Ten Feng, and Po-Tsang. Huang, “Design and Implementation for Deep Learning Based Adjustable Beamforming Training for Millimeter Wave Communication Systems,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 3, pp. 2413-2427, Mar. 2021.

10. Kai-Ten Feng, Li-Hsiang Shen, Chi-Yu Li, Po-Tsang Huang, Sau-Hsuan Wu, Li-Chun Wang, Yi-Bing Lin, and Mau-Chung Frank Chang, "3D On-Demand Flying Mobile Communication for Millimeter Wave Heterogeneous Networks," in IEEE Network Magazine, vol. 34, no. 5, pp. 198-204, Mar. 2020.

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11. Po-Chen Wu, Kai-Ten Feng, Li-Hsiang Shen, Chia-Hsiang Lai, Lie-Liang Yang, and Jen-Ming Wu, “Intelligent Load-Balancing and Resource Allocation in Space-Air-Ground Integrated Networks: A Hierarchical Multi-Agent Multi-Armed Bandit Approach," under review in TWC, 2025.

12. Li-Hsiang Shen and Jyun-Jhe Huang, “CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks," under review in IEEE IoT-J, 2025. [paper]

13. Chi-Te Kuo, Li-Hsiang Shen and Jyun-Jhe Huang “Parametrized Sharing for Multi-Agent Hybrid Deep Reinforcement Learning for Multiple Multi-Functional RISs-Assisted Downlink NOMA Networks,” under review in IEEE TVT Correspondance, 2025.

14. Li-Hsiang Shen and Yu-Quan Zheng, “Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approach," under review in IEEE TVT, 2025.

CONFERENCE PAPERS

1. 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.

2. 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.

3. Li-Hsiang Shen, Jyun-Jhe Huang, Kai-Ten Feng, Lie-Liang Yang, and Jen-Ming Wu, "Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networks", in Proceedings of IEEE International Conference on Communications (ICC), Montreal, Canada, Jun. 2025. [paper]

4. 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.

5. Pei-Hsiang Liao, Li-Hsiang Shen, Po-Chen Wu, and Kai-Ten Feng, “Multi-Agent Deep Reinforcement Learning for Energy Efficient Multi-Hop STAR-RIS-Assisted Transmissions,” in Proceedings of IEEE Vehicular Technology Conference (VTC-Fall), Washington DC, USA, Oct. 2024. [paper]

6. 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.

7. Yu-Ting Li, Li-Hsiang Shen, Kai-Ten Feng, and Chin-Yao Chan, "Reinforcement Learning for Multi-STAR-RISs with Double-Sided Incidence," in Proceedings of IEEE International Conference on Communications (ICC), Denver, CO, USA, Jun. 2024.

8. Ting-Hui Wang, Li-Hsiang Shen, Kai-Ten Feng, Yuan-Chun Lin, Shih-Cheng Lin, and Sheng-Fuh Chang, “Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE 802.11ax Wi-Fi Systems,” in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, Jan. 2024.

9. Wei-Yu Chung, Li-Hsiang Shen, Kai-Ten Feng, Yuan-Chun Lin, Shih-Cheng Lin, and Sheng-Fuh Chang, “WiRiS: Transformer for RIS-Assisted Device-Free Sensing for Joint People Counting and Localization using Wi-Fi CSI,” in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, Sep. 2023. [paper]

10. Chia-Hsiang Lai, Li-Hsiang Shen, Kai-Ten Feng, “Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach,” in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, Sep. 2023. [paper]

11. Wen Liu, An-Hung Hsiao, Li-Hsiang Shen, Kai-Ten Feng, “A New Paradigm for Device-free Indoor Localization: Deep Learning with Error Vector Spectrum in Wi-Fi Systems,” in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, Sep. 2023. [paper]

12. Chi-Che Chang, An-Hung Hsiao, Li-Hsiang Shen, Kai-Ten Feng, Chia-Yu Chen, “Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals,” in Proceedings of IEEE Vehicular Technology Conference (VTC-Spring), Florence, Italy, Jun. 2023. [paper]

13. Li-Hsiang Shen, Yun Ho, Kai-Ten Feng, Lie-Liang Yang, Sau-Hsuan Wu, and Jen-Ming Wu, “Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks,” in Proceedings of IEEE Vehicular Technology Conference (VTC-Spring), Florence, Italy, Jun. 2023. [paper]

14. Sheng-Han Chung, Li-Hsiang Shen and Kai-Ten Feng, "Long-/Short-Term Reinforcement Learning for Multi-APs Channel Allocation in IEEE 802.11ax WLANs," in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, Scotland, UK, Mar. 2023.

15. Po-Chun Hsu, Li-Hsiang Shen, Chun-Hung Liu, and Kai-Ten Feng, “Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI,” in Proceedings of IEEE Vehicular Technology Conference (VTC-Fall), Virtual Conference, Sep. 2022.

16. Hung-Yi Yen, Zhong-Ting Tsai, Yuan-Ching Chen, Li-Hsiang Shen, Chun-Jie Chiu, and Kai-Ten Feng, “I/Q Density-based Angle of Arrival Estimation for Bluetooth Indoor Positioning Systems,” in Proceedings of IEEE Vehicular Technology Conference (VTC-Spring), Helsinki, Finland, Apr. 2021

17. Ting-Wei Chang, Li-Hsiang Shen and Kai Ten Feng, "Learning-based and Enhanced Beam Training Algorithms for IEEE 802.11ad/ay Transmission Scheme," in Proceedings of IEEE Vehicular Technology Conference (VTC-Spring), Kuala Lumpur, Malaysia, Apr. 2019.