张泽中

研究助理教授

教育背景

博士后【香港中文大学(深圳),未来智联网络研究院】

博士(香港大学)

学士(南方科技大学)

研究领域
边缘学习;无线电地图感知;机器学习以及B5G技术包括通感一体化与大规模天线网络
电子邮件
zhangzezhong@cuhk.edu.cn
个人简介

张泽中,2017年本科毕业于南方科技大学,2021年获得香港大学电气与电子工程系博士学位,2021至2023年于香港中文大学(深圳)未来智联网络研究院任博士后研究员,2024年加入香港中文大学(深圳)理工学院任研究助理教授。张泽中博士的研究方向包括边缘学习、无线电地图感知、机器学习以及B5G技术包括通感一体化与大规模天线网络,先后在国内外主流期刊和旗舰会议上发表学术论文二十余篇,同时近年来担任了多个高水平期刊的审稿人,其中包括IEEE JSAC,TWC,TSP,TCOM,IOTJ 等顶级期刊,并于IEEE ICC,PIMRC,VTC等国际会议担任TPC Chair。

学术著作
  1. Z. Zhang, G. Zhu, R. Wang, V. K. N. Lau, and K. Huang, “Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis”, IEEE Trans. Wireless Commun., vol. 21, no. 10, pp. 7926-7941, Oct. 2022.
  2. Z. Zhang, S. W. Ko, R. Wang, and K. Huang, “Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection”, IEEE Trans. Wireless Commun., vol. 20, no. 4, pp. 2221-2236, Dec. 2020.
  3. Z. Zhang, Y. Li, R. Wang, and K. Huang, “Rate Adaptation for Downlink Massive MIMO Networks and Underlaid D2D Links: A Learning Approach”, IEEE Trans. Wireless Commun., vol. 18, no. 3, pp. 1819-1833, Feb. 2019.
  4. Z. Zhang, Y. Li, and R. Wang, “Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling”, IEEE Access, vol. 6, pp. 44858-44867, 2018.
  5. S. Huang, Z. Zhang*, S. Wang, R. Wang*, and K. Huang, “Accelerating Federated Edge Learning via Topology Optimization”, IEEE Internet of Things J., vol. 10, no. 3, pp. 2056-2070, Feb. 2023.
  6. Z. Zhang, G. Zhu, J. Chen and S. Cui, “Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN,” in Proceedings of IEEE International Conference on Communications Workshops (ICC Workshops 2024), Denver, CO, USA.
  7. Z. Zhang, G. Zhu and S. Cui, “Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning,” in Proceedings of IEEE Global Communications Conference Workshops (GC Wkshps 2022), Rio de Janeiro, Brazil.
  8. Z. Zhang, R. Wang, T. Li, L. Sun, V. K. N. Lau and K. Huang, “Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis,” in Proceedings of IEEE Int. Workshop Signal Process. Advances Wireless Commun. (SPAWC 2021), Lucca, Italy.
  9. Z. Zhang, Y. Li, R. Wang, Y. Chen and K. Huang, “Learning-Based Rate Adaptation for Uplink Massive MIMO with a Cooperative Data-Assisted Detector,” in Proceedings of IEEE Global Communications Conference (GC 2019), Waikoloa, HI, USA.
  10. Z. Zhang, S. W. Ko, R. Wang and K. Huang, “Millimeter-Wave Multi-Point Vehicular Positioning for Autonomous Driving,” in Proceedings of IEEE Global Communications Conference (GC 2019), Waikoloa, HI, USA.