| 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 | 123 | 2020 |
| Resource allocation for edge computing in IoT networks via reinforcement learning X Liu, Z Qin, Y Gao ICC 2019-2019 IEEE international conference on communications (ICC), 1-6, 2019 | 107 | 2019 |
| 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 | 100 | 2020 |
| Resource Allocation in Wireless Powered IoT Networks X Liu, Z Qin, Y Gao, JA McCann IEEE Internet of Things Journal, 2019 | 61 | 2019 |
| Wireless energy and information transfer in WBAN: An overview F Hu, X Liu, M Shao, D Sui, L Wang IEEE Network 31 (3), 90-96, 2017 | 57 | 2017 |
| A human body posture recognition algorithm based on BP neural network for wireless body area networks F Hu, L Wang, S Wang, X Liu, G He China Communications 13 (8), 198-208, 2016 | 57 | 2016 |
| Optimal time scheduling scheme for wireless powered ambient backscatter communications in IoT networks X Liu, Y Gao, F Hu IEEE Internet of Things Journal 6 (2), 2264-2272, 2018 | 49 | 2018 |
| 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 | 48 | 2020 |
| Point-to-point wireless information and power transfer in WBAN with energy harvesting Z Ling, F Hu, L Wang, J Yu, X Liu IEEE Access 5, 8620-8628, 2017 | 45 | 2017 |
| 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 | 32 | 2022 |
| Wireless distributed learning: A new hybrid split and federated learning approach X Liu, Y Deng, T Mahmoodi IEEE Transactions on Wireless Communications 22 (4), 2650-2665, 2022 | 30 | 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 | 26 | 2020 |
| Energy-efficient medium access approach for wireless body area network based on body posture F Wang, F Hu, L Wang, Y Du, X Liu, G Guo China Communications 12 (12), 122-132, 2015 | 20 | 2015 |
| Power allocation for energy harvesting in wireless body area networks X Liu, F Hu, M Shao, D Sui, G He China Communications 14 (6), 22-31, 2017 | 19 | 2017 |
| Energy efficient user scheduling for hybrid split and federated learning in wireless uav networks X Liu, Y Deng, T Mahmoodi ICC 2022-IEEE International Conference on Communications, 1-6, 2022 | 18 | 2022 |
| 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 |
| Performance analysis of reliability in wireless body area networks F Hu, X Liu, D Sui, M Shao, L Wang IET Communications 11 (6), 925-929, 2017 | 14 | 2017 |
| 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 |
| Sparse array synthesis for WBAN with minimised side lobe via convex optimisation X Liu, F Hu, W Xiong, Y Du, L Cen IET Communications 10 (17), 2452-2460, 2016 | 11 | 2016 |
| 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 |
Yue GaoProfessor, Fudan University, China在 ieee.org 的电子邮件经过验证
