| Resource allocation with edge computing in IoT networks via machine learning X Liu, J Yu, J Wang, Y Gao IEEE Internet of Things Journal 7 (4), 3415-3426, 2020 | 124 | 2020 |
| Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing X Liu, J Yu, Z Feng, Y Gao China Communications 17 (9), 220-236, 2020 | 102 | 2020 |
| 3D channel tracking for UAV-satellite communications in space-air-ground integrated networks J Yu, X Liu, Y Gao, X Shen IEEE journal on selected areas in communications 38 (12), 2810-2823, 2020 | 49 | 2020 |
| Deep learning for channel tracking in IRS-assisted UAV communication systems J Yu, X Liu, Y Gao, C Zhang, W Zhang IEEE Transactions on Wireless Communications 21 (9), 7711-7722, 2022 | 34 | 2022 |
| 6G mobile-edge empowered metaverse: Requirements, technologies, challenges and research directions J Yu, A Alhilal, P Hui, DHK Tsang arXiv preprint arXiv:2211.04854, 2022 | 26 | 2022 |
| Learning to predict the mobility of users in mobile mmWave networks X Liu, J Yu, H Qi, J Yang, W Rong, X Zhang, Y Gao IEEE wireless communications 27 (1), 124-131, 2020 | 25 | 2020 |
| Modularity-based dynamic clustering for energy efficient UAVs-aided communications J Yu, R Zhang, Y Gao, LL Yang IEEE Wireless Communications Letters 7 (5), 728-731, 2018 | 20 | 2018 |
| IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning J Yu, Y Li, X Liu, B Sun, Y Wu, DHK Tsang IEEE Transactions on Wireless Communications 22 (7), 4296-4312, 2022 | 14 | 2022 |
| Distributed intelligence in wireless networks X Liu, J Yu, Y Liu, Y Gao, T Mahmoodi, S Lambotharan, DHK Tsang IEEE Open Journal of the Communications Society 4, 1001-1039, 2023 | 12 | 2023 |
| Bi-directional digital twin and edge computing in the metaverse J Yu, A Alhilal, P Hui, DHK Tsang arXiv preprint arXiv:2211.08700, 2022 | 12 | 2022 |
| Long-term channel statistic estimation for highly-mobile hybrid mmWave multi-user MIMO systems J Yu, X Liu, H Qi, Y Gao IEEE transactions on vehicular technology 69 (12), 14277-14289, 2020 | 10 | 2020 |
| Attention-based QoE-aware digital twin empowered edge computing for immersive virtual reality J Yu, A Alhilal, T Zhou, P Hui, DHK Tsang IEEE Transactions on Wireless Communications, 2024 | 5 | 2024 |
| 3D on and off-grid dynamic channel tracking for multiple UAVs and satellite communications J Yu, X Liu, Y Gao, X Shen IEEE Transactions on Wireless Communications 21 (6), 3587-3604, 2021 | 4 | 2021 |
| Robust compressive sensing of multiband spectrum with partial and incorrect priors H Qi, J Yu, A Cavallaro, Y Gao ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 2 | 2019 |
| Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-Cell Mobile Edge Computing W Xu, J Yu, Y Wu, DHK Tsang IEEE Transactions on Green Communications and Networking, 2023 | 1 | 2023 |
| On-grid 3D dynamic channel tracking for space-air communications with multiple UAVs J Yu, X Liu, Y Gao 2021 IEEE/CIC International Conference on Communications in China (ICCC …, 2021 | 1 | 2021 |
| Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System T Zhou, J Yu, J Zhang, DHK Tsang arXiv preprint arXiv:2402.09729, 2024 | | 2024 |
| QoE Optimization for VR Streaming: a Continual RL Framework in Digital Twin-empowered MEC J Yu, A Alhilal, T Zhou, P Hui, DHK Tsang GLOBECOM 2023-2023 IEEE Global Communications Conference, 6249-6254, 2023 | | 2023 |
| Joint Channel Estimation and Reinforcement Learning-Based Resource Allocation of Intelligent Reflecting Surface-Aided Multicell Mobile Edge Computing W Xu, J Yu, Y Wu, DHK Tsang IEEE Internet of Things Journal, 2023 | | 2023 |
| Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning J Yu, Y Li, X Liu, B Sun, Y Wu, DHK Tsang ICC 2023-IEEE International Conference on Communications, 5352-5357, 2023 | | 2023 |
Yue GaoProfessor, Fudan University, ChinaVerified email at ieee.org
