Dr. Jingwen Tong

School of Informatics, Xiamen University

Post-Doctoral Fellow

Department of Electronic and Computer Engineering (ECE)

The Hong Kong University of Science and Technology (HKUST)

Biography

Jingwen Tong received the B.E. degree in Electrical Engineering from China Jiliang University in 2015, and the M.Phil. degree in Electrical Engineering from Ningbo University in 2018. He received the Ph.D. degree in the School of Informatics from Xiamen University, China, in 2022. From 2019 to 2020, he was a visiting scholar at the University of Houston, USA. Currently, he is a Postdoctoral Fellow with the Department of Electronic and Computer Engineering (ECE) at The Hong Kong University of Science and Technology (HKUST). His main research interests include multi-armed bandit (MAB) and its applications in wireless communications and generative AI for wireless networks. Here is the CV.

Work Experience

  • 2022.06-Now, 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
  • 2019.10-2020.11, Visiting Scholar, Department of Electrical and Computer Engineering, University of Houston. Supervisors: Prof. Zhu Han and Prof. Liqun Fu;

What’s New

  • [10/2024] I was invited to serve on the technical program committee for WCNC 2025 (Track 3: Resource Allocation and Machine Learning).
  • [10/2024] One of our papers, “LLM-Slice: Dedicated Wireless Network Slicing for Large Language Models,” has been accepted by SenSys 2024. Congrats to Boyi!
  • [09/2024] We successfully held the 2nd 6G wireless summit in the Sheraton Hong Kong Hotel & Towers, on Sept. 11-12. For more details, please see the conference Website and Image Gallery.
  • [09/2024] One of our papers, “WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks,” has been submitted to a possible journal for publication. ArXiv
  • [08/2024] One of our papers, “A Federated Online Restless Bandit Framework for Cooperative Resource Allocation,” has been accepted by the IEEE Transactions on Mobile Computing. Paper
  • [08/2024] One of our papers, “Online Resource Allocation for User Experience Improvement in Heterogeneous MEC Systems,” has been accepted by Globecom 2024. Congrats to Weiya!
  • [06/2024] One of our papers, “WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence,” has been accepted by the Journal of Communications and Information Networks. Paper
  • [05/2024] One of our papers, “Data-Driven Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds,” has been accepted by the IEEE Transactions on Wireless Communications. Paper
  • [04/2024] I was invited to serve on the technical program committee for Globecom 2024 (Cognitive Radio and AI-Enabled Network Symposium).
  • [03/2024] One of our papers titled “From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection” has been accepted by the IEEE Transactions on Mobile Computing. Paper
  • [03/2024] We are going to hold the 2nd 6G wireless summit in Hong Kong on Sept. 11-12, titled “IEEE Hong Kong 6G Wireless Summit (IEEE HK6GWS 2024)”. Welcome!
  • [02/2024] I was invited to serve on the technical program committee for ICC 2024 WS06 (Task-Oriented and Generative Communications for 6G).
  • [01/2024] I was invited to serve on the technical program committee for WCNC 2024 WS-15 (Model-Driven Deep Learning for 6G).
  • [09/2023] We successfully held the 6G wireless summit in Hong Kong Shangri-La Hotel on Sept. 13-14. More details please see “IEEE Hong Kong 6G Wireless Summit (IEEE HK6GWS 2023)”.
  • [07/2023] One of our papers titled “Geo-perturbation for task allocation in 3D mobile crowdsourcing: an A3C-based Approach” has been accepted by the IEEE Internet of Things Journal.
  • [04/2023] I received the Reviewer Certificate from IET Communications for my review contributions to the journal. PDF
  • [03/2023] I was invited to serve on the technical program committee for Globecom 2023 CRAEN (Cognitive Radio and AI-Enabled Networks Symposium).
  • [03/2023] We published an article in the WeChat public account about ChatGPT meets Wireless. Article, Slide
  • [02/2023] One of our papers titled “Model-based Thompson sampling for frequency and rate selection in underwater acoustic communications” has been accepted by IEEE Transactions on Wireless Communications.
  • [09/2022] We successfully held a conference workshop with Huawei on Sept. 15-16 titled “Huawei-HKUST Joint Workshop on Theory for Future Wireless”.
  • [09/2022] I established a new homepage powered by Github Page based on the theme of mmistakes/minimal-mistakes.
  • [06/2022] I received the Ph.D. from Xiamen University, supervised by Profs. Liqun Fu and Zhu Han. Thesis
  • [03/2022] I received a Postdoctoral Fellowship in the Department of ECE from the Hong Kong University of Science and Technology, Supervised by Prof. Jun Zhang.

Publication

Journal:

  1. J. Tong, X. Li, L. Fu, J. Zhang, and K. Letaief, “A Federated Online Restless Bandit Framework for Cooperative Resource Allocation” in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2024.3453250, 2024. PDF
  2. J. Shao, J. Tong, Q. Wu, W. Guo, Z. Li, Z. Lin, and J. Zhang, “WirelssLLM: Empowering Large Language Models Towards Wireless Intelligence” in Journal of Communications and Information Networks, 2024. PDF
  3. L. Fu, J. Tong, T. Lin, and J. Zhang, “Data-Driven Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds,” in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2024.3403996, 2024. PDF
  4. J. Tong, Z. Chen, L. Fu, J. Zhang, and Z. Han, “From Learning to Analytics: Improving Model Efficacy With Goal-Directed Client Selection,” in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2024.3383038, 2024. PDF
  5. J. Tong, L. Fu, Y. Wang, and Z. Han, “Model-Based Thompson Sampling for Frequency and Rate Selection in Underwater Acoustic Communications,” in IEEE Transactions on Wireless Communications, vol. 22, no. 10, pp. 6946-6961, Oct. 2023. PDF
  6. J. Tong, L. Fu, and Z. Han, “Age-of-Information Oriented Scheduling for Multi-Channel IoT Systems with Correlated Sources,” in IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9775-9790, Nov. 2022. PDF
  7. J. Tong, H. Zhang, L. Fu, A. Leshem, and Z. Han, “Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via Multi-player Bandits,” in IEEE Transactions on Communications, vol. 70, no. 5, pp. 3526-3541, May 2022. PDF
  8. J. Tong, L. Fu, and Z. Han, “Throughput Enhancement of Full-Duplex CSMA Networks Using Multiplayer Bandits,” in IEEE Internet of Things Journal, vol. 8, no. 15, pp. 11807-11821, 1 Aug. 2021. PDF
  9. J. Tong, M. Jin, Q. Guo, and Y. Li, “Cooperative Spectrum Sensing: A Blind and Soft Fusion Detector,” in IEEE Transactions on Wireless Communications, vol. 17, no. 4, pp. 2726-2737, Apr. 2018. PDF
  10. J. Tong, M. Jin, Q. Guo, and L. Qu, “Energy Detection Under Interference Power Uncertainty,” in IEEE Communications Letters, vol. 21, no. 8, pp. 1887-1890, Aug. 2017. PDF

Conference:

  1. B. Liu, J. Tong, and J. Zhang. LLM-Slice: Dedicated 5G Wireless Network Slicing for Large Language Models, ACM Conference on Embedded Networked Sensor Systems (SenSys), Hangzhou, China, 2024. To appear
  2. W. Ni, J. Tong, and L. Fu, “Online Resource Allocation for User Experience Improvement in Heterogeneous MEC Systems” GC 2024 - IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa, 2024. To appear.
  3. Z. Chen, J. Tong, L. Fu, and Z. Han, “Over-the-Air Computing Aided Federated Learning and Analytics via Belief Propagation Based Stochastic Bandits,” ICC 2022 - IEEE International Conference on Communications, 2022, pp. 2804-2809, doi: 10.1109/ICC45855.2022.9839106.
  4. J. Tong, S. Lai, L. Fu, and Z. Han, “Optimal Frequency and Rate Selection Using Unimodal Objective Based Thompson Sampling Algorithm,” ICC 2020 - IEEE International Conference on Communications (ICC), 2020, pp. 1-7, doi: 10.1109/ICC40277.2020.9148988.
  5. J. Tong, L. Fu, and Z. Han, “Throughput Enhancement of Full-Duplex CSMA Networks via Adversarial Multi-Player Multi-Armed Bandit,” GC 2019 - IEEE Global Communications Conference (GLOBECOM), 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013810.

Patent:

  1. 岳蕾, 赖舒悦, 童景文, 付立群. 一种提升水声通信链路平均吞吐量的方法[P]. 福建省：CN111431628B,2021-07-06.
  2. 付立群, 童景文, 岳蕾. 一种利用MAB提升全双工CSMA网络吞吐量的方法[P]. 福建省：CN110233762B,2021-03-09.
  3. 童景文, 金明, 姚俊腾. 针对时间同步且不存在频偏情况下的OFDM信号频谱感知方法[P]. 浙江省：CN107196720B,2020-08-14.
  4. 姚俊腾, 金明, 童景文. 针对时间同步且存在频偏情况下的OFDM信号频谱感知方法[P]. 浙江省：CN107465473B,2020-07-03.
  5. 童景文, 金明. 一种基于软融合策略的盲协作频谱感知方法[P]. 浙江省：CN107770778B,2020-01-21.
  6. 付彩梅, 李有明, 童景文, 余明宸, 周桂莉. 一种基于比特交换的多用户电力线通信系统资源分配方法[P]. 浙江省：CN105656612B,2018-06-26.
  7. 童景文, 金明. 一种基于贝叶斯准则和能量检测法的频谱感知方法[P]. 浙江省：CN106788817A,2017-05-31.