Guangjin Pan

Guangjin Pan

Postdoctoral Researcher

đź“ť Publications

[Journal]

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  • X. Chen, Z. Zhou, W. Ni, G. Pan, S. Zhang, Y. Sun, and A. Jamalipour, “Scheduling and Securing Asynchronous Federated Learning Through Cooperative Jamming,” IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 3209-3222, 2026.
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  • S. Xu, J. Jiang, W. Yu, Y. Gao, G. Pan, et al., “Enhanced Fingerprint-based Positioning With Practical Imperfections: Deep Learning-based Approaches,” IEEE Wireless Communications, 2025.
  • J. Li, S. Zhang, T. Yu, G. Pan et al., “A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications,” IEEE Internet of Things Journal, vol. 12, no. 14, pp. 28582-28597, 15 July15, 2025.
  • Y. Sun, W. Xiong, G. Pan*, S. Xu et al., “QoE Prediction in RIC-assisted Wireless Real-time Video Transmission System with Transformer,” IEEE Transactions on Vehicular Technology, vol. 74, no. 9, pp. 14910-14915, Sept. 2025.
  • Y. Sun, J. Qiu, G. Pan*, S. Xu et al., “Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach,” IEEE Internet of Things Journal, vol. 12, no. 11, pp. 17499-17513, June 2025.
  • G. Pan, S. Xu, and P. Jiang, “Optimizing 5G-A Networks for Time-critical Applications: The Role of L4S,” IEEE Wireless Communications, vol. 32, no. 2, pp. 230-237, April 2025.
  • G. Pan, S. Xu, S. Zhang, X. Chen, and Y. Sun, “Quality of Experience Optimization for Real-time XR Video Transmission with Energy Constraints,” IEEE Transactions on Vehicular Technology, vol. 73, no. 10, pp. 15883-15888, Oct. 2024.
  • G. Pan, S. Xu, S. Zhang, X. Chen and Y. Sun, “Quality of Experience Oriented Cross-Layer Optimization for Real-Time XR Video Transmission,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 8, pp. 7742-7755, Aug. 2024.
  • G. Pan, H. Zhang, S. Xu, S. Zhang and X. Chen, “Joint Optimization of Video-Based AI Inference Tasks in MEC-Assisted Augmented Reality Systems,” IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 2, pp. 479-493, April 2023.
  • Z. Wang, G. Pan, Y. Sun, and S. Zhang, “An Interference-Aware Resource-Allocation Scheme for Non-Cooperative Multi-Cell Environment,” Electronics, 2023, 12, 868.
  • H. Wen, J. Yu, G. Pan, X. Chen, S. Zhang and S. Xu, “A Hybrid CNN-LSTM Architecture for High Accurate Edge-Assisted Bandwidth Prediction,” IEEE Wireless Communications Letters, vol. 11, no. 12, pp. 2640-2644, Dec. 2022.
  • J. Yu, H. Wen, G. Pan, S. Zhang, X. Chen, and S. Xu, “Quality of Experience Oriented Adaptive Video Streaming for Edge Assisted Cellular Networks,” IEEE Wireless Communications Letters, vol. 11, no. 11, pp. 2305-2309, Nov. 2022.
  • H. Zhang, G. Pan, S. Xu, S. Zhang and Z. Jiang, “Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach,” China Communications, 2022.
  • G. Pan, T. Wang, S. Zhang and S. Xu, “High Accurate Time-of-Arrival Estimation With Fine-Grained Feature Generation for Internet-of-Things Applications,” IEEE Wireless Communications Letters, vol. 9, no. 11, pp. 1980-1984, Nov. 2020.

[Conference]

  • G. Pan, Z. Li, A. Ă–zçelikkale, C. Häger, M. Keskin, and H. Wymeersch, “Active Inference Framework for Closed-Loop Sensing, Communication, and Control Systems,” IEEE ICASSP, 2026. (Accepted)
  • G. Pan, Z. Li, A. Ă–zçelikkale, C. Häger, M. Keskin, and H. Wymeersch, “Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control,” IEEE Globecom Workshops, 2025.
  • Y. Zhang, G. Pan, M. Keskin, O. Kaltiokallio, M. Valkama, and H. Wymeersch, “UNILoc: Unified Localization Combining Model-Based Geometry and Unsupervised Learning,” IEEE Globecom, 2025.
  • X. Chen, Q. Zhang, W. Ni, G. Pan, et al., “Towards Secure Co-Inference: Leveraging DNN Partitioning and Collaborative Friendly Jamming,” IEEE ICCC, Shanghai, China, 2025, pp. 1-6.
  • R. Zhu, Y. Sun, S. Zhang, X. Chen, and G. Pan, “VR Applications Joint Offloading and Scheduling Optimization in Multi-access Edge Computing,” IEEE WCNC, Milan, Italy, 2025, pp. 1-6.
  • Y. Sun, X. Jiang, G. Pan, S. Zhang, and S. Xu, “Joint Computation Offloading and Multi-User Scheduling for Max-Latency Minimization in MEC-Aided Cell-Free Networks,” IEEE WCSP, Hefei, China, 2024, pp. 703-708.
  • X. Chen, Z. Zhou, W. Ni, G. Pan, et al., “Privacy-Preserving Resource Allocation for Asynchronous Federated Learning,” IEEE VTC-Spring, Singapore, Singapore, 2024, pp. 1-6.
  • X. Ye, Y. Sun, D. Wen, G. Pan, and S. Zhang, “End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference,” IEEE VTC-Fall, Hong Kong, Hong Kong, 2023, pp. 1-7.
  • Y. Sun, W. Chen, G. Pan, S. Zhang, X. Chen, and Y. Wu, “Joint Bitrate Transcoding and Parallel Cooperative Transmission Optimization for Adaptive Video Streaming in Edge Assisted Cellular Networks,” IEEE VTC-Fall, Hong Kong, Hong Kong, 2023, pp. 1-7.
  • G. Pan, S. Xu, S. Zhang, X. Chen, and Y. Sun, “Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling,” IEEE FCN, Queenstown, New Zealand, 2023, pp. 1-6.
  • G. Pan, H. Zhang, S. Xu, S. Zhang, and X. Chen, “Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications,” IEEE GLOBECOM, Rio de Janeiro, Brazil, 2022, pp. 2230-2235.
  • H. Zhang, G. Pan, S. Xu, S. Zhang, and Z. Jiang, “A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning,” IEEE VTC2022-Spring, Helsinki, Finland, 2022, pp. 1-5.
  • Y. Sun, Q. Xie, G. Pan, S. Zhang, and S. Xu, “A Novel GCN-based Indoor Localization System with Multiple Access Points,” IEEE IWCMC, Harbin City, China, 2021, pp. 9-14.
  • G. Pan, Tao W, X. Jiang, and S. Zhang, “Deep Learning based OTDOA Positioning for NB-IoT Communication Systems,” Mobimedia, 27-28 August 2020.

[Preprints]

  • H. Huang, G. Pan*, K. Huang, S. Zhang*, et al., “A Retrieval-Assisted Framework for Wireless Localization,” submitted to IEEE Transactions on Mobile Computing, 2026. (Under review)
  • G. Pan, A. Ă–zçelikkale, C. Häger, et al., “Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems,” submitted to IEEE Journal on Selected Areas in Communications, 2025. (Under review)
  • G. Pan, K. Huang, H. Chen, et al., “Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks,” submitted to IEEE Transactions on Wireless Communications, 2025. (Major revision)
  • Y. Zhang, G. Pan*, M. Keskin, et al., “UNILocPro: Unified Localization Integrating Model-Based Geometry and Channel Charting,” submitted to IEEE Transactions on Wireless Communications, 2025. (Under review)
  • K. Huang, C. Shen, G. Pan, et al., “Physics-Guided Deep Learning for WiFi-Based 3D Human Pose Estimation: A Multipath-Aware Framework with Hierarchical Semantic Fusion,” submitted to CVPR, 2026. (Under review)