| AI empowered RIS-assisted NOMA networks: Deep learning or reinforcement learning? R Zhong, Y Liu, X Mu, Y Chen, L Song IEEE Journal on Selected Areas in Communications 40 (1), 182-196, 2021 | 61 | 2021 |
| Multi-agent reinforcement learning in NOMA-aided UAV networks for cellular offloading R Zhong, X Liu, Y Liu, Y Chen IEEE Transactions on Wireless Communications 21 (3), 1498-1512, 2021 | 58 | 2021 |
| Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer R Zhong, Y Liu, X Mu, Y Chen, X Wang, L Hanzo IEEE Journal on Selected Areas in Communications 40 (9), 2556-2569, 2022 | 28 | 2022 |
| Mobile reconfigurable intelligent surfaces for NOMA networks: Federated learning approaches R Zhong, X Liu, Y Liu, Y Chen, Z Han IEEE Transactions on Wireless Communications 21 (11), 10020-10034, 2022 | 27 | 2022 |
| Path design and resource management for NOMA enhanced indoor intelligent robots R Zhong, X Liu, Y Liu, Y Chen, X Wang IEEE Transactions on Wireless Communications 21 (10), 8007-8021, 2022 | 11 | 2022 |
| STAR-RISs assisted NOMA networks: A distributed learning approach R Zhong, X Mu, Y Liu, Y Chen, J Zhang, P Zhang IEEE Journal of Selected Topics in Signal Processing 17 (1), 264-278, 2023 | 6 | 2023 |
| NOMA in UAV-aided cellular offloading: A machine learning approach R Zhong, X Liu, Y Liu, Y Chen 2020 IEEE Globecom Workshops (GC Wkshps, 1-6, 2020 | 6 | 2020 |
| A Reinforcement Learning Approach for Energy Efficient Beamforming in NOMA Systems Y Liu, R Zhong, M Jaber GLOBECOM 2022-2022 IEEE Global Communications Conference, 3827-3832, 2022 | 3 | 2022 |
| STAR-RISs Assisted NOMA Networks: A Tile-based Passive Beamforming Approach R Zhong, X Mu, X Xu, Y Chen, Y Liu 2022 International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2022 | 2 | 2022 |
| Mobile Edge Generation: A New Era to 6G R Zhong, X Mu, Y Zhang, M Jabor, Y Liu arXiv preprint arXiv:2401.08662, 2023 | 1 | 2023 |
| Exploiting Caching-at-STARS: Joint caching replacement and hybrid beamforming Z Hu, R Zhong, C Fang, Y Liu GLOBECOM 2023-2023 IEEE Global Communications Conference, 5031-5036, 2023 | 1 | 2023 |
| Resource Management for Heterogeneous Semantic and Bit Communication Systems M Zhang, R Zhong, X Mu, Y Chen, Y Liu 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | 1 | 2023 |
| AllTheDocks road safety dataset: A cyclist's perspective and experience CY Chiang, R Zhong, J Ding, J Wood, S Bee, M Jaber arXiv preprint arXiv:2404.10528, 2024 | | 2024 |
| Interference Suppressed NOMA for Semantic-aware Communication Networks Y Zhang, R Zhong, Y Liu, W Xu, P Zhang IEEE Transactions on Wireless Communications, 2024 | | 2024 |
| Caching-at-STARS: the Next Generation Edge Caching Z Hu, R Zhong, C Fang, Y Liu IEEE Transactions on Wireless Communications, 2024 | | 2024 |
| Energy Efficient Beamforming Design for Non-Orthogonal Multiple Access Systems: A Curiosity-Driven Approach Y Liu, R Zhong, M Jaber, Y Liu 2023 IEEE Globecom Workshops (GC Wkshps), 884-889, 2023 | | 2023 |
| Machine Learning Empowered Large RIS-assisted Near-field Communications R Zhong, X Mu, Y Liu 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-5, 2023 | | 2023 |
| Federated Learning Empowered Mobile RISs for NOMA Networks R Zhong, X Liu, Y Liu, Y Chen, Z Han ICC 2022-IEEE International Conference on Communications, 4956-4961, 2022 | | 2022 |
| Path Design for NOMA-Enhanced Robots: A Machine Learning Approach with Radio Map R Zhong, X Liu, Y Liu, D Zhang, Y Chen 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | | 2021 |
Yuanwei LiuIEEE Fellow, AAIA Fellow, Web of Science Highly Cited Researcher, Queen Mary University of LondonVerified email at qmul.ac.uk
