边缘人工智能

基于分布式光纤的交通状况感知

具有同时折射和反射功能的智能反射面

智能反射面协助的无线网络

非正交多址接入

 钟睿康，教授，博士生导师， 2016年与2018年分别取得电子科技大学与南安普顿大学学士和硕士学位。于2023年获得伦敦玛丽女王大学电子工程专业博士学位，2023-2025年于伦敦玛丽女王大学从事博士后研究工作。2025年9月至12月于西安交通大学信通学院任特聘研究员。主要研究方向包括无线通信系统、智能交通和分布式边缘人工智能。近年来，在IEEE JSAC, IEEE TWC, IEEE IoTJ 等高水平SCI期刊以及IEEE ICC, GLOBECOM等国际知名会议上发表论文50余篇，其中以第一作者发表多篇SCI一区期刊论文，申请发明专利1项。主持科研项目2项、参与英国工程和自然科学研究委员会（EPSRC）科研项目2项。任通信领域知名期刊IEEE Transaction of communication编辑，先后在多个通信领域国际会议(Globecom，WCNC等) 组织分布式人工智能和大数据相关研讨会

(1) 西安交通大学, 青年拔尖人才支持计划-A类, 2026-12 至今, 主持

(2) 国家级青年人才支持计划, 2026-01 至今, 主持

(3) UK Research and Innovation (Engineering and Physical Sciences Research Council), Distributed Acoustic Sensor System for Modelling Active Travel, 2023-06 至今, 参与

(4) UK Research and Innovation (Engineering and Physical Sciences Research Council), Towards Sustainable ICT: Sparse Ubiquitous Networks based on Reconfigurable Intelligent Surfaces, 2022-08 至 2024-07, 参与

(5) Royal Society (RS) and Natural Science Foundation of China (NSFC), Intelligent Unmanned Aerial Vehicle Communications over Cellular Networks, 2021-03 至 2023-02, 参与

[1] Ruikang Zhong, X. Mu, Y. Zhang, M. Jaber, and Y. Liu, “Mobile edge generation: A new era to 6G,” IEEE Network, vol. 38, no. 5, pp. 47–55, Sept. 2024, doi: 10.1109/MNET.2024.3420240.

[2] Ruikang Zhong, X. Mu, M. Jaber, and Y. Liu, “Enabling distributed generative artificial intelligence in 6G: Mobile edge generation,” IEEE Internet of Things Journal, vol. 12, no. 6, pp. 6607–6620, Mar. 2025, doi: 10.1109/JIOT.2024.3493611. 

[3] Ruikang Zhong, X. Liu, Y. Liu, Y. Chen, and X. Wang, “Multi-agent reinforcement learning in NOMA-aided UAV networks for cellular offloading,” IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1498–1512, Mar. 2022, doi: 10.1109/TWC.2021.3104633.

[4] Ruikang 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.

[5] Ruikang Zhong, X. Liu, Y. Liu, Y. Chen, and Z. Han, “Mobile reconfigurable intelligent surfaces for NOMA networks: Federated learning approaches,” IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 10020–10034, Nov. 2022, doi: 10.1109/TWC.2022.3181747.

[6] Ruikang Zhong, C. Y. Chiang, Y. Fathy, G. Slabaugh and M. Jaber, "Safe Intelligent Vehicles: Intent Is What We Need," in IEEE Intelligent Transportation Systems Magazine, doi: 10.1109/MITS.2026.3653697.

[7] Ruikang Zhong, X. Liu, Y. Liu, Y. Chen, and Z. Han, “Hybrid reinforcement learning for STAR-RISs: A coupled phase-shift model based beamformer,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 9, pp. 2556–2569, Sept. 2022, doi: 10.1109/JSAC.2022.3192053.

[8] Ruikang Zhong, X. Mu, Y. Liu, Y. Chen, J. Zhang and P. Zhang, "STAR-RISs Assisted NOMA Networks: A Distributed Learning Approach," in IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 1, pp. 264-278, Jan. 2023, doi: 10.1109/JSTSP.2022.3229567.

联系电话：

Email:ruikang.zhong@xjtu.edu.cn

联系地址：

个人主页：https://faculty.xjtu.edu.cn/ruikang_zhong/zh_CN/index.htm