[1] R. Zhong, Y. Liu, X. Mu, Y. Chen and L. Song, "AI Empowered RIS-Assisted NOMA Networks: Deep
Learning or Reinforcement Learning?" in IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp.
182-196, Jan. 2022, doi: 10.1109/JSAC.2021.3126068.
[2] R. Zhong, X. Liu, Y. Liu and Y. Chen, "Multi-Agent Reinforcement Learning in NOMA-aided UAV
Networks for Cellular Offloading," in IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp.
1498-1512, March 2022, doi: 10.1109/TWC.2021.3104633.
[3] R. Zhong, X. Liu, Y. Liu, Y. Chen and X. Wang, "Path Design and Resource Management for NOMA
enhanced Indoor Intelligent Robots", IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp.
8007-8021, Oct. 2022, DOI: 10.1109/ TWC.2022.3163422.
[4] R. Zhong, Y. Liu, X. Mu, Y. Chen, X. Wang and L. Hanzo, "Hybrid Reinforcement Learning for
STAR-RISs: A Coupled Phase-Shift Model Based Beamformer", in IEEE Journal on Selected Areas in Communications,
vol. 40, no. 9, pp. 2556-2569, Sept. 2022, doi: 10.1109/JSAC.2022.3192053.
[5] R. Zhong, X. Liu, Y. Liu, Y. Chen and Z. Han, "Mobile Reconfigurable Intelligent Surfaces for NOMA
Networks: Federated Learning Approaches", in IEEE Transactions on Wireless Communications, vol. 21, no. 11,
pp. 10020-10034, Nov. 2022, doi: 10.1109/TWC.2022.3181747.
[6] R. Zhong, X. Mu, Y. Liu, Y. Chen, J. Zhang and P. Zhang, "STAR-RISs Assisted NOMA Networks: A
Distributed Learning Approach", accepted, IEEE Journal of Selected Topics in Signal Processing.
[7] Z. Hu, R. Zhong, C. Fang and Y. Liu, "Caching-at-STARS: The Next Generation Edge Caching," in IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 8372-8387, Aug. 2024.
[8] Y. Zhang, R. Zhong, Y. Liu, W. Xu and P. Zhang, "Interference Suppressed NOMA for Semantic-aware Communication
Networks," in IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 10383-10397, Aug. 2024.
[9] M. Zhang, R. Zhong, X. Mu and Y. Liu "Heterogeneous Semantic and Bit Communication for Extended
Reality: OMA and NOMA", IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 12949-12963, Oct. 2024.
[10] R. Zhong, Y. Zhang, X. Mu, M. Jaber, and Y. Liu, "Mobile Edge Generation: A New Era to 6G," in IEEE
Network, vol. 38, no. 5, pp. 47-55, Sept. 2024.
[11] C. -Y. Chiang, R. Zhong, M. Jaber and P. Hayward, "A Distributed Acoustic Sensor System for Intelligent Transportation using Deep Learning," in IEEE Internet of Things Magazine, vol. 7, no. 5, pp. 88-96, September 2024.
[12] Q. Gao, R. Zhong, H. Shin, and Y. Liu, "MARL Based UAVs’ Trajectory and Beamforming Optimization for ISAC System," in IEEE Internet of Things Journal.
[13] T. Shi, T. Zhang, R. Zhong, Y. Liu, and R. Huang, "Cross-User Dependent Task Offloading and Resource Allocation in Spatial-Temporal Dynamic MEC Networks," in IEEE Transactions on Vehicular Technology, vol. 73, no. 10, pp. 15584-15597, Oct. 2024.
Conference papers
[1] R. Zhong, X. Liu, Y. Liu and Y. Chen, "NOMA in UAV-aided cellular offloading: A machine learning
approach", IEEE Globecom Workshops, 2020, pp. 1-6.
[2] R. Zhong, X. Liu, Y. Liu, D. Zhang and Y. Chen, "Path Design for NOMA-Enhanced Robots: A Machine
Learning Approach with Radio Map", IEEE ICC Workshops, 2021, pp. 1-6.
[3] R. Zhong, X. Liu, Y. Liu, Y. Chen and Z. Han, "Federated Learning Empowered Mobile RISs for NOMA
Networks", IEEE ICC, 2022, pp. 4956-4961.
[4] R. Zhong, X. Mu, X. Xu, Y. Chen and Y. Liu, "STAR-RISs Assisted NOMA Networks: A Tile-based Passive
Beamforming Approach", 2022 International Symposium on Wireless Communication Systems (ISWCS), 2022, pp.
1-6.
[5] Y. Liu, R. Zhong and M. Jaber, "A Reinforcement Learning Approach for Energy Efficient Beamforming
in NOMA Systems", accepted by IEEE Globecom, 2022.
[6] M. Zhang, R. Zhong, X. Mu, Y. Chen and Y. Liu, "Resource Management for Heterogeneous Semantic and Bit Communication Systems," 2023 ICC Workshops, Rome, Italy, 2023, pp. 1629-1634.
[7] R. Zhong, X. Mu, and Y. Liu, "Machine Learning Empowered Large RIS-assisted Near-field Communications," VTC2023-Fall, Hong Kong, Hong Kong, 2023, pp. 1-5.
[8] Z. Hu, R. Zhong, C. Fang, and Y. Liu, "Exploiting Caching-at-STARS: Joint Caching Replacement and Hybrid Beamforming," IEEE GLOBECOM, Kuala Lumpur, Malaysia, 2023, pp. 5031-5036.
[9] Y. Liu, R. Zhong, M. Jaber, and Y. Liu, "Energy Efficient Beamforming Design for Non-Orthogonal Multiple Access Systems: A Curiosity-Driven Approach," IEEE Globecom Workshops, Kuala Lumpur, Malaysia, 2023, pp. 884-889.
[10] R. Zhong, X. Mu, Y. Chen and Y. Liu, "Exploiting Multi-User Semantic Communications: A Non-Orthogonal Approach," 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 2024, pp. 1-6.
[11] R. Zhong, C. -Y. Chiang and M. Jabor, "Distributed Acoustic Sensor System for Vehicle Occupancy Detection," 2024 IEEE World Forum on Public Safety Technology, Herndon, VA, USA, 2024, pp. 132-137.
[12] T. Shi, T. Zhang, R. Zhong, Y. Liu, and R. Huang, "Inter-user Dependent Task Offloading and Resource Allocation in Dynamic MEC Networks," IEEE ICC, Denver, CO, USA, 2024, pp. 3925-3930.
[13] M. Zhang, R. Zhong, X. Mu, and Y. Liu, "AI-Empowered Beam Tracking for Near-Field Communications," IEEE ICC, Denver, CO, USA, 2024, pp. 1643-1648.
[14] Y. Zhang, R. Zhong, Y. Liu, W. Xu, and P. Zhang, "Non-orthogonal Multiple Access for Semantic Communications," IEEE ICC, Denver, CO, USA, 2024, pp. 678-683.
[15] C. -Y. Chiang, R. Zhong, J. Ding, J. Wood, S. Bee, and M. Jaber, "AllTheDocks Road Safety Dataset: A Cyclist's Perspective and Experience," VTC2024-Spring, Singapore, Singapore, 2024, pp. 1-5.