1. Brief Introduction

Hello! I am Jingwen Tong, an Assistant Professor in the College of Electronics and Information Engineering at Shenzhen University. Before that, I was a Post-Doctoral Fellow in the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology (HKUST), working with Prof. Jun Zhang and collaborating closely with Prof. Khaled Ben Letaief. From 2019 to 2020, I was also a visiting scholar at the University of Houston, USA. I obtained my Ph.D. degree from the School of Informatics at Xiamen University in 2022, and the M.Phil. in Electrical Engineering from Ningbo University in 2018, and the B.E. in Communication Engineering from China Jiliang University in 2015.

My research focuses on LLM-based AI agents and multi-armed bandits (MAB), with applications in wireless communications. I am broadly interested in building learning systems that make sequential decisions under uncertainty, efficiently explore large action spaces, and achieve robust performance in real-world networked environments.

(For more information, please visit my personal website: https://jwentong.github.io/)

2. Working Experience

[1].2026.01-Now, Assistant Professor, College of Electronics and Information Engineering, Shenzhen University.

[2].2022.06-2026.01, Post-Doctoral Fellow, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology. Supervisor: Prof. Jun Zhang and work closely with Prof. Khaled Ben Letaief

[3].2019.10-2020.11, Visiting Scholar, Department of Electrical and Computer Engineering, University of Houston. Supervisors: Prof. Zhu Han and Prof. Liqun Fu;

3. Current Research Directions

My research interests lie in exploring Large Language Model (LLM) agents and Multi-Armed Slots (MAB) technologies and applying them to next-generation wireless communication networks. I am particularly focused on designing intelligent systems capable of handling uncertainty, addressing the core problem of efficient exploration and decision-making within a vast action space, thereby ensuring the algorithms maintain strong robustness and practical value in real-world physical network environments. My specific research directions include:

[1]Architecture design of large language model-based AI agents

[2]Wireless map reconstruction based on 3D Gaussian Splatting (3D-GS)

[3]Multi-Armed Bandits (MAB) technology

[4]Resource management of wireless communication networks

4. Representative Publications

[1]Jingwen Tong, Wei Guo, Jiaowei Shao, Qiong Wu, Zehong Lin, Zijian Li, and Jun Zhang. WirelessAgent: Large language model agents for intelligent wireless networks [J], China Communications, Accepted, Nov. 2025.

[2]Chaozheng Wen, Jingwen Tong, Yingdong Hu, Zehong Lin, and Jun Zhang. Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach [J], IEEE Transactions on Wireless Communications, DOI 10.1109/TWC.2025.3631663, Oct., 2025.

[3]Shumin Lian, Jingwen Tong, Jun Zhang, and Liqun Fu, “Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM”in IEEE Journal on Selected Areas in Communications, vol. 20, no. 5, pp. 1-15, May 2025.

[4]Chaozheng Wen, Jingwen Tong, Yingdong Hu, Zehong Lin, and Jun Zhang. WRF-GS: Wireless Radiation Field Reconstruction with 3D Gaussian Splatting [C], IEEE International Conference on Computer Communications (INFOCOM), 2025, May, London, UK.

[5]Jingwen Tong, Xinran Li, Liqun Fu, Jun Zhang, and Khaled Letaief. A Federated Online Restless Bandit Framework for Cooperative Resource Allocation [J], IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 15274-15288, Dec. 2024.

[6]Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, and Zhu Han. From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection [J], IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 10803-10817, Dec. 2024.

[7]Jingwen Tong, Liqun Fu, Yizhe Wang, and Zhu Han. Model-Based Thompson Sampling for Frequency and Rate Selection in Underwater Acoustic Communications [J], IEEE Transactions on Wireless Communications, vol. 22, No. 10, pp. 6846-6961, Oct. 2023.

[8]Jingwen Tong, Liqun Fu, and Zhu Han. Age-of-Information Oriented Scheduling for Multi-Channel IoT Systems with Correlated Sources [J], IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9775-9790, Jun. 2022.

[9]Jingwen Tong, Hongliang Zhang, Liqun Fu, Amir Leshem, and Zhu Han. Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via Multi-Player Bandits [J], IEEE Transactions on Communications, vol. 70, no. 5, pp. 3526-3541, May 2022.

[10]Jingwen Tong, Liqun Fu, and Zhu Han. Throughput Enhancement of Full-Duplex CSMA Networks Using Multi-Player Bandits [J], IEEE Internet of Things Journal, vol. 15, no. 8, pp. 11807-11821, Mar. 2021.

[11]Jingwen Tong, Ming Jin, Qinghua Guo, and Youming Li. Cooperative Spectrum Sensing: A Blind and Soft Fusing Detector [J], IEEE Transactions on Wireless Communications, vol. 17, no. 4, pp.2726-2737, Apr. 2018.

[12]Jingwen Tong, Ming Jin, Qinghua Guo, and Long Qu. Energy Detection under Interference Power Uncertainty [J], IEEE Communications Letters, vol. 21, no. 8, pp. 1887-1890, Aug. 2017.

[13]Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, and Jun Zhang. WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence [J], Journal of Communications and Information Networks, vol. 9, no.2, pp.99-112, Jun. 2024.

[14]Liqun Fu, Jingwen Tong, Tongtong Lin, and Jun Zhang. Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds [J], IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 13707-13721, Oct. 2024.