博士（麻省理工学院）

学士（北京大学）

罗智泉教授是中国工程院外籍院士、加拿大皇家科学院院士、香港中文大学（深圳）副校长、深圳市大数据研究院院长、深圳河套学院执行院长、香港中文大学（深圳）—深圳市大数据研究院—华为未来网络系统优化创新实验室主任。他于 1984 年获北京大学数学系学士学位，1989 年获美国麻省理工学院电子工程与计算机科学系运筹学博士学位。他是 SIAM 会士和 IEEE 会士以及 IEEE 信号处理期刊主编（2012-2014）。

罗智泉教授的学术成果包括无线通信的收发机优化设计、最优鲁棒波束成形设计、动态频谱管理等，相关论文分别获得 2004 年、2009 年、2011 年和 2015 年 IEEE 信号处理学会、2011 年国际通信大会、欧洲信号处理学会以及 2020 年世界华人数学家联盟最佳论文奖。因在优化理论领域的卓越贡献，他于 2010 年获美国运筹和管理科学协会 Farkas 奖，2018 年获国际数学优化学会 Tseng 纪念奖，2022 年获中国工业与应用数学学会第一届王选应用数学奖，2023 年获深圳市科技进步奖一等奖以及 2025 年 ICCM 首届华罗庚奖。

2020 年，挑战网络效能最大化的难题，他开创性地提出了数据驱动的网络优化技术路线和算法框架，成功将数据驱动网络统计模型与人工智能技术深度融合。成果被华为 GTS 认定为"根技术"，目前已成功应用于 30 多个国家的无线网络，优化超过 180 万个基站，显著提升了网络性能。该技术不仅惠及全球四分之一人口，还为电信运营商大幅降低了运营成本和碳排放，产生了显著的经济效益和社会效益。

工作经历

2025-现在 河套学院执行院长

2018-现在  香港中文大学（深圳）-腾讯 AI LAB 机器智能联合实验室 主任

2015-现在  深圳市大数据研究院 院长

2014-现在  香港中文大学（深圳） 副校长（学术）， 校长讲席教授

2003-2014  美国明尼苏达大学电子与计算机工程系 教授 （2014起离职）

2003-2013  美国明尼苏达大学电子与计算机工程系 ADC讲席教授 Digital Technology

2001-2004  加拿大麦克马斯特大学电子与计算机工程系 加拿大国家科研讲席教授

2000-2003  加拿大麦克马斯特大学电子与计算机工程系 系主任

1998-2005  加拿大麦克马斯特大学电子与计算机工程系 正教授

1992-2003  加拿大麦克马斯特大计算机与软件工程系 联系成员

1993-1998  加拿大麦克马斯特大学电子与计算机工程系 终身副教授

1989-1993  加拿大麦克马斯特大学电子与计算机工程系 预备终身助理教授

研究团队

罗智泉教授研究团队研究经费充足，是国内大数据分析，机器学习的优势学术团队，不仅与政府部门和科研院所联系紧密，和腾讯，华为，京东等公司均有良好的合作。欢迎对大数据分析的最优化方法，数字信号和数据通信以及机器学习有兴趣的同学加入。

在读博士:

张佳伟，梁豪，箫建聪，任舒仪，张天建，刘晔，陈淙靓，李英儒，李凯，李颖，孟庆晏，刘良琦，张雨舜

联系人：

彭燕妮（行政）：pengyanni@cuhk.edu.cn

舒娆（学术）：shurao@cuhk.edu.cn

李奕瑶（科研）：yiyaoli@cuhk.edu.cn

部分学术著作：

1. F. Yin, L. Pan, T. Chen, S. Theodoridis, Zhi-Quan Luo and A. M. Zoubir, "Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series," in IEEE Transactions on Signal Processing, vol. 68, pp. 5260-5275, 2020.

2. Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo, “A block successive upper bound minimization method of multipliers for linearly constrained convex optimization”, MATHEMATICS OF OPERATIONS RESEARCH, Vol. 68, pp. 2244–2255, June. 2020

3. Y. Huang, S. A. Vorobyov and Z. Luo, "Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-Rank Signal Model," in IEEE Transactions on Signal Processing, vol. 68, pp. 2244-2255, Jan. 2020

4. Y. Yang, M. Pesavento, Z. Luo and B. Ottersten, "Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization," in IEEE Transactions on Signal Processing, vol. 68, pp. 947-961, Dec. 2019

5. Ruoyu Sun, Zhi-Quan Luo, Yinyu Ye, “On the Efficiency of Random Permutation for ADMM and Coordinate Descent”, MATHEMATICS OF OPERATIONS RESEARCH, Vol. 45, pp. 233–271, Nov. 2019.

6. Nicholas Moehle, Xinyue Shen, Zhi-Quan Luo, Stephen Boyd , “A Distributed Method for Optimal Capacity Reservation”, Journal of Optimization Theory and Applications, Vol. 182, pp. 1130–1149, September 2019.

7. Z. Lin, W. Pu and Z. Luo, "Minimax Design of Constant Modulus MIMO Waveforms for Active Sensing," in IEEE Signal Processing Letters, vol. 26, no. 10, pp. 1531-1535, Oct. 2019.

8. Meisam Razaviyayn, Mingyi Hong, Navid Reyhanian, Zhi-Quan Luo, “A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems”, Mathematical Programming, Vol. 176, pp. 465–496, July 2019.

9. W. Liu, R. Sun and Zhi-Quan Luo, " Globally Optimal Joint Uplink Base Station Association and Beamforming," in IEEE Transactions on Communications, May.2, 2019.

10. A. Aubry, A. De Maio, A. Zappone, M. Razaviyayn and Z. Luo, "A New Sequential Optimization Procedure and Its Applications to Resource Allocation for Wireless Systems," in IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6518-6533, 15 Dec.15, 2018.

11. F. Shang, J. Cheng, Y. Liu, Z. Luo and Z. Lin, "Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 9, pp. 2066-2080, 1 Sept. 2018.

12. Ghasem MIRJALILY and Z. Luo, " Optimal Network Function Virtualization and Service Function Chaining: A Survey." Chinese Journal of Electronics, vol. 27, Issue 4, pp. 704 – 717, July 2018.

13. W. Liao, M. Hong, H. Farmanbar and Z. Luo, "A Distributed Semiasynchronous Algorithm for Network Traffic Engineering." IEEE Transactions on Signal and Information Processing over Networks, vol. 4, no. 3, pp. 436-450, Sept. 2018.

14. Wenqiang Pu, Ya Feng Liu, Junkun Yan, Hongwei Liu, Zhi-Quan Luo, “Optimal estimation of sensor biases for asynchronous multi-sensor data fusion”, Mathematical Programming, Vol. 170, pp. 357–386, July 2018.

15. Wenqiang Pu, Jinjun Xiao, Tao Zhang, Zhi-Quan Luo, “An optimization model for electroencephalography-assisted binaural beamforming”, The Journal of the Acoustical Society of America, vol. 143, issue 3, pp. 1744-1744, Mar. 2018.

16. Mingyi Hong and Zhi-Quan Luo, “On the Linear Convergence of The Alternating Direction Method of Multipliers”, Mathematical Programming, Vol. 162, pp. 165–199, March 2017.

17. Mingyi Hong and Zhi-Quan Luo, “Iteration complexity analysis of block coordinate descent methods”, Mathematical Programming, Vol. 163, pp. 85–114, May 2017.

18. M. Locatelli and Z. Luo, "On the Complexity of Optimal Power Allocation in a Multi-Tone Multiuser Communication System," IEEE Transactions on Information Theory, vol. 63, pp. 6622-6627, Oct. 2017.

19. F. Shang, J. Cheng, Y. Liu, Z. Luo and Z. Lin, "Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. (Early Access)

20. N. Zhang, Z. Yao, Y. Liu, S. P. Boyd and Z. Luo, "Dynamic Resource Allocation for Energy Efficient Transmission in Digital Subscriber Lines," IEEE Transactions on Signal Processing, vol. 65, pp. 4353-4366, Aug. 2017.

21. N. Zhang, Y. Liu, H. Farmanbar, T. Chang, M. Hong and Z. Luo, "Network Slicing for Service-Oriented Networks Under Resource Constraints," IEEE Journal on Selected Areas in Communications, vol. 35, pp. 2512-2521, Nov. 2017.

22. YUN-BIN ZHAO∗, HOUYUAN JIANG †,Zhi-Quan Luo, “Weak Stability of l1-minimization Methods in Sparse Data Reconstruction”, IEEE Transactions on Signal and Information, Processing over Networks, Nov. 2017.

23. Yun-Bin Zhao, Zhi-Quan Luo, “Constructing New Weighted ℓ1-Algorithms for the Sparsest Points of Polyhedral Sets”, Mathematics of Operations Research, Vol. 42, pp. 1-276, 2017.

24. R. Sun and Z. Luo, "Guaranteed Matrix Completion via Non-Convex Factorization," in IEEE Transactions on Information Theory, vol. 62, no. 11, pp. 6535-6579, Nov. 2016.

25. Q. Shi, M. Razaviyayn, M. Hong and Z. Luo, "SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis," in IEEE Transactions on Signal Processing, vol. 64, no. 11, pp. 2920-2933, June, 2016.

26. Razaviyayn, M., Sanjabi, M. and Luo, ZQ. , “A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks”, Mathematical Programming, Vol. 157, pp. 515–545, June 2016.

27. Mingyi Hong, Zhi-Quan Luo, and Meisam Razaviyayn, “Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems”, SIAM J. OPTIM., Vol. 26, No.1, pp. 337–364, 2016.

28. M. Hong, M. Razaviyayn, Z. Luo and J. Pang, "A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing," in IEEE Signal Processing Magazine, vol. 33, no. 1, pp. 57-77, Jan. 2016.

29. R. Sun, M. Hong and Z. Luo, "Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity," in IEEE Journal on Selected Areas in Communications, vol. 33, no. 6, pp. 1040-1054, June 2015.

30. R. Sun and Z. Luo, "Interference Alignment Using Finite and Dependent Channel Extensions: The Single Beam Case," in IEEE Transactions on Information Theory, vol. 61, no. 1, pp. 239-255, Jan. 2015.