张德有，北京航空航天大学电子信息工程学院副教授，入选国家级海外高层次人才计划青年项目，主要从事MIMO及相关方向研究。本科与硕士均毕业于哈尔滨工业大学，博士毕业于澳大利亚悉尼大学，师从Yonghui Li教授（澳大利亚科学院院士、IEEE Fellow）。博士后阶段获得瑞典Digital Futures资助在皇家理工学院从事研究工作，合作导师为Ming Xiao教授、Zhibo Pang教授与Lihui Wang教授。累计发表学术论文30余篇，其中以第一或通讯作者在IEEE TWC、TCOM等期刊发表论文16篇。主持国家自然科学基金委青年科学基金项目（C类）1项、瑞典Digital Futures博士后基金项目1项，以子课题负责人参与科技部国家重点研发计划项目1项。曾获IEEE International Conference on Industrial Informatics（INDIN）大会最佳论文奖。

围绕高频谱效率通信，在6G毫米波通信、智能反射面（RIS）辅助通信及无线联邦学习等方向开展了系统性研究，并取得以下代表性成果：
①面向6G毫米波通信，提出基于复合波束的快速波束跟踪方法，将复合波束序列设计转化为无四环二分图的构造问题，并利用图论求解该NP困难问题，在波束快速变化场景下，相比于单波束跟踪，该方法可显著降低训练时间。
②面向6G Cell-Free毫米波MIMO，提出以RIS替代部分基站的低成本实现方案，并构建基于交替优化的用户－RIS－基站协同波束成形框架。进一步提出完全去中心化系统架构，将原本集中式的波束成形计算任务分解至各基站本地执行，从而显著降低回程信令开销，并在大规模网络场景下具备良好可扩展性。
③面向联邦学习模型聚合的通信瓶颈，提出“通信－学习”协同优化框架，通过用户选择、过时模型复用及带宽资源分配显著降低通信负载，同时该框架还能从理论上保证训练过程强线性收敛，兼顾通信效率与学习性能。
④提出有源RIS辅助空中计算方案，并构建基于交替方向乘子法的用户－有源RIS－基站协同波束成形框架，有效抑制用户不一致性信道对空中计算精度的影响。此外，通过渐进分析给出有源RIS辅助空中计算最优性能的近似表达式，从理论上证明其相较于无源RIS的性能优势。在此基础上，将有源RIS辅助空中计算引入联邦学习，结合所提基于用户信道加权的模型聚合方法，在显著降低通信开销的同时兼顾模型聚合精度。

Deyou Zhang received the B.S. and M.S. degrees from Harbin Institute of Technology, Harbin, China, in 2012 and 2014, respectively, and the Ph.D. degree from the University of Sydney, Sydney, Australia, in 2020. From January 2021 to January 2024, he was a Postdoctoral Researcher with the Division of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden. In March 2024, he joined Beihang University, where he is currently an Associate Professor with the School of Electronic and Information Engineering. His research interests include MIMO communications, e.g., 6G mmWave communications, RIS, fluid antennas, and integrated communication and navigation. 

Google Scholar: https://scholar.google.com/citations?user=e3zv8SYAAAAJ&hl=en

Journal Papers

• [J8] S. Ye, Deyou Zhang, M. Xiao, C. Ren, M. Skoglund, M. Di Renzo, C. Yuen, "Fluid Antenna Systems Empowered Integrated Communication and Over-the-Air Computation," submitted to IEEE Transactions on Communications, 2025.

• [J7] Deyou Zhang, M. Xiao, C. Shi, M. Skoglund, Y. Li, and H. V. Poor, "Beamforming Design for Active RIS-Aided Over-the-Air Computation," IEEE Transactions on Communications, 2025.

• [J6] H. Zhao, M. Wu, T. Liu, Deyou Zhang*, D. Wang*, and R. Liu, "FL-based ISAC Network in Cohesive Clustered Satellite: Resource Optimization in Heterogeneous Datasets and Systems," Science China: Information Sciences, 2025.

• [J5] Y. Chen, Y. Jiang, L. Zhao, Deyou Zhang, and Y. Li, "Low-Complexity Beamforming Design for Multi-User MIMO Cognitive Radio Systems," IEEE Transactions on Wireless Communications, 2025.

• [J4] J. Wang, M. Xia*, Deyou Zhang*, W. Wen, W. Chen, and C. Shi, "Urban GNSS Positioning for Consumer Electronics: 3D Mapping and Advanced Signal Processing," IEEE Transactions on Consumer Electronics, 2025.

• [J3] Deyou Zhang, M. Xiao, Z. Pang, L. Wang, and H. V. Poor, "IRS Assisted Federated Learning: A Broadband Over-the-Air Aggregation Approach," IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 4069-4082, May 2024.

• [J2] Deyou Zhang, S. Ye, M. Xiao, and M. Skoglund, "Fluid Antenna Array Enhanced Over-the-Air Computation," IEEE Wireless Communications Letters, vol. 13, no. 6, pp. 1541-1545, June 2024.

• [J1] L. Yang, J. Liu, S. Li, Deyou Zhang, and Z. Xia, “Enhancing User Experience in Ultra HD Cloud Performing Arts Live Streaming: A QoS-to-QoE Mapping Approach,” IEEE Transactions on Broadcasting, vol. 70, no. 2, pp. 413-428, June 2024.

Conference Papers

• [C5] M. Xia, Deyou Zhang, Z. She, J. Wang, and C. Shi, "WavI2I: Wavelet-Driven Inertial Imaging for Robust Industrial Human Activity Recognition," IEEE INDIN, Kunming, China, July 2025. (Best Paper Award)

• [C4] Deyou Zhang, Z. Zheng (大二学生), W. Zhang (大三学生), M. Xia, and C. Shi, "Over-the-Air Computation via Reconfigurable Intelligent Surface with Phase-Dependent Amplitude Response," IEEE INDIN, Kunming, China, July 2025.

• [C3] Deyou Zhang, M. Xiao, M. Skoglund, and H. V. Poor, "Federated Learning via Active RIS-Assisted Over-the-Air Computation," IEEE ICMLCN, pp. 201-207, Stockholm, Sweden, May 2024.

• [C2] Deyou Zhang, and H. Lyu, "NOMA Enabled Multi-Access Edge Computing: A Joint MU-MIMO Precoding and Computation Offloading Design," IEEE ISIE, Ulsan, Korea, June 2024.

• [C1] S. Ye, Deyou Zhang, M. Xiao, and M. Skoglund, "Integrated Communication and Computation Empowered by Fluid Antenna Array," IEEE SPAWC, Lucca, Italy, Sept. 2024.