罗智泉

教授

教育背景

博士 运筹学（麻省理工学院）1989

理学学士 应用数学（北京大学）1984

研究领域
大数据分析的最优化方法；信号处理中的算法设计与复杂性分析；数据通信
电子邮件
pengyanni@cuhk.edu.cn
个人简介

罗智泉教授于1984年在北京大学数学系获学士学位。同年他经美国数学学会以及美国工业与应用数学学会联合选拔（又称陈省身项目），获赴美攻读博士资格，进入美国麻省理工学院电子工程与计算机科学系以及运筹学中心学习，并于1989年获得博士学位。1998年成为加拿大麦克马斯特大学终身教授。2000年至2003年，任加拿大麦克马斯特大学电子与计算机工程系主任以及加拿大国家科研讲席教授。2003年至2014年，任美国明尼苏达大学电子与计算机工程系终身教授以及ADC讲席教授。自2014年5月，罗智泉教授被聘为香港中文大学（深圳）副校长，主管学术和科研。自2016年3月起，罗智泉教授兼任深圳市大数据研究院院长。自 2018年 6月起，罗智泉教授兼任香港中文大学（深圳）-腾讯 AI LAB 机器智能联合实验室主任。2020年9月，罗智泉教授兼任香港中文大学（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。

罗智泉教授曾荣获2010年美国运筹学和管理学研究协会（INFORMS）颁发的Farkas奖，以表彰他在最优化领域的杰出贡献。2018年，他获得 Paul Y. Tseng 连续优化纪念奖（Paul Y. Tseng Memorial Lectureship in Continuous Optimization） 。他在优化、信号处理及通信等领域的研究成果曾分别获得2004年、2009年、2011和2015年IEEE信号处理学会、2011年国际通信大会以及2011年欧洲信号处理学会的最佳论文奖。2021年4月，他被授予2020世界华人数学家联盟最佳论文奖（银奖） 。罗教授同时是电子工程师学会（IEEE）会士和美国工业与应用数学学会（SIAM）会士。2014年他当选加拿大皇家科学院院士。2016年，他入选广东省领军人才。2021年，他当选中国工程院外籍院士。

罗智泉教授的研究主要集中在优化理论、算法设计以及其在信息科学中的应用。他多次被邀请在国际重要学术会议上做大会特邀报告，他是2003年国际数学规划会议大会以及2011年IEEE决策与控制大会特邀报告人、2006年IEEE SAM Workshop的杰出演讲者、2013年IEEE SPAWC会议以及2014年IEEE通信理论国际研讨会的大会特邀报告人。他曾任IEEE信号处理学会SPCOM技术委员会主席，曾担任IEEE信号处理期刊主编以及《运筹学数学》（Mathematics of Operations Research）, 《管理科学》（Management Science）和《数学规划》（Mathematical Programming）等国际著名杂志的编委。除了教学科研，罗教授还长期为国内外高科技企业以及政府研究机构提供技术咨询。

学术著作

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.