Publications

Journal and conference papers by Jiadong Yu.

For a complete citation profile, please visit my Google Scholar.

Journal Papers

  • [J23] 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.
  • [J22] 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.
  • [J21] 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.
  • [J20] 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.
  • [J19] 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.
  • [J18] 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.
  • [J17] 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.
  • [J16] 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.
  • [J15] 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.
  • [J14] 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.
  • [J13] 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.
  • [J12] 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.
  • [J11] 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.
  • [J10] 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.
  • [J9] 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.
  • [J8] 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.
  • [J7] 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.
  • [J6] 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).
  • [J5] 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.
  • [J4] 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.
  • [J3] 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.
  • [J2] 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.
  • [J1] 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.

Conference Papers

  • [C14] 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.
  • [C13] C. Shang, D. Hoang, D. Nguyen, J. Yu, "Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication," 2026 INFOCOM Workshop, Tokyo, 2026.
  • [C12] 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.
  • [C11] C. Shang, J. Yu, D. Hoang, "Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks," 2025 IEEE Global Communications Conference (GLOBECOM), Taiwan, 2025.
  • [C10] 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.
  • [C9] 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.
  • [C8] 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.
  • [C7] 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.
  • [C6] 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.
  • [C5] 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.
  • [C4] 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.
  • [C3] 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).
  • [C2] 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.
  • [C1] 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.