Publications

Journal and conference papers from EXTEND Lab.

Journal Papers 23
Conference Papers 14

Peer-Reviewed Work

Journal Articles

  1. X. Zhang, J. Yu*, Z. Zhong, "Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning," in IEEE Transactions on Machine Learning in Communications and Networking (Major Revision), Mar. 2026.
  2. X. Zhang, S. Cheng, Z. Zhong, J. Yu*, "Adaptive Wireless Network Topology and Communication Efficiency of Task-oriented Multi-Agent Systems," in IEEE Network (submitted), Mar. 2026.
  3. H. Xiong, J. Yu*, "Latency-Freshness-Aware Vehicular Edge Computing for Digital Twin-Enabled Intelligent Transportation," in IEEE Transactions on Intelligent Transportation Systems (accepted), Mar. 2026.
  4. J. Zheng, J. Yu*, X. Liu, "Scheduling and Fusion for Multimodal Federated Learning in Energy-constrained Wireless Networks," in IEEE Transactions on Mobile Computing (accepted), Sep. 2025.
  5. X. Zhang, J. Yu*, "Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Models," in IEEE Transactions on Wireless Communications (accepted), May 2025.
  6. C. Shang, J. Yu*, D. Hoang, "Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL," in IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2025.3589438, Jul. 2025.
  7. T. Zhou, J. Yu*, J. Zhang, and D. H. K. Tsang, "Federated Prompt-based Decision Transformer for Resource Allocation of Customized VR Streaming in Mobile Edge Computing," in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2025.3586371, Jul. 2025.
  8. C. Shang, D. Hoang, J. Yu*, M. Hao and D. Niyato, "Constructing the Metaverse With a New Perspective: UAV FoV-Assisted Low-Latency Imaging," in IEEE Wireless Communications Letters, vol. 14, no. 1, pp. 158-162, Jan. 2025.
  9. C. Shang, D. Hoang, M. Hao, D. Niyato and J. Yu, "Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism," in IEEE Wireless Communications Letters, vol. 13, no. 10, pp. 2742-2746, Oct. 2024.
  10. J. Yu*, A. Alhilal, P. Hui and D. H. K. Tsang, "Bi-Directional Digital Twin and Edge Computing in the Metaverse," in IEEE Internet of Things Magazine, vol. 7, no. 3, pp. 106-112, May 2024.
  11. J. Yu*, A. Alhilal, T. Zhou, P. Hui and D. H. K. Tsang, "Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality," in IEEE Transactions on Wireless Communications, vol. 23, no. 9, pp. 11276-11290, Sept. 2024.
  12. W. Xu, J. Yu, Y. Wu and D. H. K. Tsang, "Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-Cell Mobile Edge Computing," in IEEE Transactions on Green Communications and Networking, vol. 8, no. 1, pp. 362-374, Mar. 2024.
  13. W. Xu, J. Yu, Y. Wu and D. H. K. Tsang, "Joint Channel Estimation and Reinforcement-Learning-Based Resource Allocation of Intelligent-Reflecting-Surface-Aided Multicell Mobile Edge Computing," in IEEE Internet of Things Journal, vol. 11, no. 7, pp. 11862-11875, Apr., 2024.
  14. J. Yu, Y. Li, X. Liu, B. Sun, Y. Wu and D. H. K. Tsang, "IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning," in IEEE Transactions on Wireless Communications, vol. 22, no. 7, pp. 4296-4312, Jul. 2023.
  15. X. Liu, J. Yu*, et al., "Distributed Intelligence in Wireless Networks," in IEEE Open Journal of the Communications Society, vol. 4, pp. 1001-1039, Apr. 2023.
  16. J. Yu, X. Liu, Y. Gao, C. Zhang and W. Zhang, "Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems," in IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7711-7722, Sept. 2022.
  17. J. Yu, X. Liu, Y. Gao and X. Shen, "3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications," in IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 3587-3604, June 2022.
  18. X. Liu, J. Yu, Z. Feng and Y. Gao, "Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing," in China Communications, vol. 17, no. 9, pp. 220-236, Sept. 2020 (Best Paper Award).
  19. J. Yu, X. Liu, Y. Gao and X. Shen, "3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks," in IEEE Journal on Selected Areas in Communications, vol. 38, no. 12, pp. 2810-2823, Dec. 2020.
  20. J. Yu, X. Liu, H. Qi and Y. Gao, "Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems," in IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 14277-14289, Dec. 2020.
  21. X. Liu, J. Yu, et al., "Learning to Predict the Mobility of Users in Mobile mmWave Networks," in IEEE Wireless Communications, vol. 27, no. 1, pp. 124-131, Feb. 2020.
  22. X. Liu, J. Yu, J. Wang and Y. Gao, "Resource Allocation With Edge Computing in IoT Networks via Machine Learning," in IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3415-3426, Apr. 2020.
  23. J. Yu, R. Zhang, Y. Gao and L. -L. Yang, "Modularity-Based Dynamic Clustering for Energy Efficient UAVs-Aided Communications," in IEEE Wireless Communications Letters, vol. 7, no. 5, pp. 728-731, Oct. 2018.

Peer-Reviewed Work

Conference Papers

  1. J. Zheng, J. Yu, X. Liu, "Maximizing Personalized Energy-efficiency for Swarm Learning in 6G Networks," 2026 IEEE International Conference on Communications (ICC), Glasgow, 2026.
  2. C. Shang, D. Hoang, D. Nguyen, J. Yu, "Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication," 2026 INFOCOM Workshop, Tokyo, 2026.
  3. J. Zheng, J. Yu, X. Liu, "Knowledge Distillation-based Aggregation and Energy-constrained User Scheduling for Multimodal Federated Learning," 2025 IEEE Global Communications Conference (GLOBECOM), Taiwan, 2025.
  4. C. Shang, J. Yu, D. Hoang, "Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks," 2025 IEEE Global Communications Conference (GLOBECOM), Taiwan, 2025.
  5. Z. Zhang, J. Yu, X. Zhang, Y. Wang and P. Hui, "Joint Latency-Energy Aware Digital Twin Placement in Heterogeneous Cloud-Edge Networks," 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), Oslo, Norway, 2025.
  6. M. R. Ariyachandra, Y. Wen, J. Yu, "Advancing Rail Infrastructure: Integrating Digital Twins and Cyber-Physical Systems for Predictive Maintenance," 2025 EC3 European Conference on Computing in Construction, Porto, Portugal, 2025.
  7. X. Zhang, C. Shang, J. Yu, "Rethinking the Reward Design for DRL in Mobile Communication Systems with Generative Diffusion Models," 2025 IEEE International Conference on Communications (ICC) Workshop, Montreal, Canada, 2025.
  8. H. Xiong, J. Yu, "Adaptive AI in Smart Grid: A Continual Reinforcement Learning Framework for Cyber-Physical Systems," 2025 IEEE International Conference on Communications (ICC), Montreal, Canada, 2025.
  9. Z. Zhang, J. Yu, and D. H. K. Tsang, "Intelligent Attention-based QoE Enhancement for VR Interaction: Keyframe Extraction and Resource Allocation," 2025 IEEE International Conference on Communications (ICC), Montreal, Canada, 2025.
  10. J. Yu, A. Ahmad, T. Zhou, H. Pan, and D. H. K. Tsang, "QoE Optimization for VR Streaming: a Continual RL Framework in Digital Twin-empowered MEC," 2023 IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, 2023.
  11. J. Yu, Y. Li, X. Liu, B. Sun, Y. Wu and D. H. K. Tsang, "Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning," 2023 IEEE International Conference on Communications (ICC), Roma, Italy, 2023.
  12. J. Yu, X. Liu and Y. Gao, "On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs," 2021 IEEE/CIC International Conference on Communications in China (ICCC), Xiamen, China, 2021 (Invitation Paper).
  13. J. Yu, X. Liu, H. Qi, W. Zhang and Y. Gao, "Spatial Channel Covariance Estimation for Hybrid mmWave Multi-User MIMO Systems," 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019.
  14. H. Qi, J. Yu, A. Cavallaro and Y. Gao, "Robust Compressive Sensing of Multiband Spectrum with Partial and Incorrect Priors," 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019.