Guangjin Pan

Guangjin Pan

Postdoctoral Researcher

Welcome to my homepage 🎉🎉. I received my B.E. degree in 2018 and my Ph.D. degree in 2024, from the School of Communication and Information Engineering, Shanghai University in China. My supervisor is Prof. Shugong Xu from GREAT Lab. I would like to express my sincere gratitude to Prof. Shugong Xu for his guidance in my research, and to Prof. Shunqing Zhang for his academic mentorship. Currently, I am a postdoctoral researcher at Chalmers University of Technology, working with Prof. Henk Wymeersch on AI-driven wireless localization, sensing, and communication research. I am eager to exchange ideas and collaborate with researchers in various fields such as wireless communication, positioning and sensing, and AI.

My research interests include,

  • AI-Native Networks (Radio World Models and Foundation Models)
  • Agentic Wireless Networking
  • Wireless Localization and Sensing
  • Wireless Media Network

🤝 Looking forward to collaboration: If you are interested in AI-driven wireless Localization/Sensing (based on radio foundation models, active inference, world models, AI-driven closed-loop control) but don’t yet have a concrete idea, feel free to reach out to Henk and me — we are very open to collaborations!

You can find my curated paper list for wireless large AI models here: Wireless-LAM (continuously updated).

🔥 News

  • 2026.01:   🎉 My first-authored paper, “Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems” has been accepted by IEEE ICASSP (Authors: Guangjin Pan, Liping Bai, Zhuojun Tian, Hui Chen, Mehdi Bennis, and Henk Wymeersch).

  • 2025.12:   🎉 Our paper “Sidelink Positioning: Standardization Advancements, Challenges and Opportunities” has been accepted by IEEE Communications Magazine (Authors: Yuan Gao, Guangjin Pan, Zhiyong Zhong, Zhengyu Jin, Yichen Hu, Yifei Jin, and Shugong Xu).

  • 2025.12:   🎉 My first-authored paper, “AI-driven wireless positioning: Fundamentals, standards, state-of-the-art, and challenges” has been accepted by IEEE Communications Surveys and Tutorials (Authors: Guangjin Pan, Yuan Gao, Yilin Gao, Wenjun Yu, Zhiyong Zhong, Xiaoyu Yang, Xinyu Guo, and Shugong Xu).

  • 2025.12:   🎉 Our paper “A Multi-task Disentanglement Framework Guided by Pedestrian Attributes for Video-Based Clothes-Changing Person Re-Identification in Internet of Things” has been accepted by IEEE Internet of Things Journal (Authors: Hengjie Lu, Guangjin Pan, Yilin Gao, and Shugong Xu).

  • 2025.12:   🎉 I am honored and delighted to receive the IEEE Communications Society 2025 Exemplary Reviewer Award for my service to the IEEE Open Journal of the Communications Society.

  • 2025.10:   🎉 Our paper “Scheduling and Securing Asynchronous Federated Learning Through Cooperative Jamming” has been accepted by IEEE Transactions on Cognitive Communications and Networking (with Fengmei Ni, Zheer Zhou, Wei Ni, Xiaojing Chen, Guangjin Pan, Yanzan Sun, Shunqing Zhang, and Abbas Jamalipour).

  • 2025.09:   One paper is accepted by Globecom Workshop 2025 [pdf]

  • 2025.09:   New preprint: “Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems” — first paper to introduce Active Inference into Closed-Loop ISAC systems (with Guangjin Pan, Liping Bai, Zhuojun Tian, Hui Chen, Mehdi Bennis, and Henk Wymeersch)

  • 2025.08:   🎉 Our paper “Enhanced Fingerprint Cellular Positioning With Practical Imperfections: Deep Learning-Based Approaches” has been accepted by IEEE Wireless Communications (with Shugong Xu, Jun Jiang, Wenjun Yu, Yilin Gao, Guangjin Pan, Shiyi Mu, Zhiqi Ai, Yuan Gao, Peigang Jiang, and Cheng-Xiang Wang).

  • 2025.08:   🎉 One paper is accepted by Globecom 2025.

  • 2025.07:   🎉 One paper is accepted by ICCC 2025.

  • 2025.04:   🎉 Our work is accepted by IEEE Internet of Things Journal: A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications.
  • 2025.04:   🎉 Our work is accepted by IEEE Transactions on Vehicular Technology: QoE Prediction in RIC-assisted Wireless Real-time Video Transmission System with Transformer.
  • 2025.03:   🎉 Our Chalmers Area-of-Advance Transport Postdoc Project got funded (2,000,000 SEK).
  • 2025.02:   🎉 Our work is accepted by IEEE Internet of Things Journal: Energy Optimization of Multi-Task DNN Inference in MEC-Assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach.
  • 2024.07:   🎉 Our paper, Optimizing 5G-A Networks for Time-critical Applications: The Role of L4S, which is collaborated with the Huawei Wireless X-Labs, is accepted by IEEE Wireless Communication.
  • 2024.06:   🎉 Defended my Ph.D. Thesis: Research on Key Technologies for Edge-assisted XR Video Transmission and Analysis Optimization.
  • 2024.05:   🎉 Our work is accepted by IEEE Transactions on Vehicular Technology: Quality of Experience Optimization for Real-time XR Video Transmission with Energy Constraints.
  • 2024.02:   🎉 Our work is accepted by IEEE Transactions on Circuits and Systems for Video Technology: Quality of Experience Oriented Cross-Layer Optimization for Real-Time XR Video Transmission.

🌟 Motto: Through hardships to the stars. | 自强不息；先天下之忧而忧，后天下之乐而乐