LUO, Zhiquan Tom

X.Q. Deng Presidential Chair Professor

Foreign Member of the Chinese Academy of Engineering (CAE)，Fellow of Royal Society of Canada (FRSC), IEEE Fellow, Fellow of the Society for Industrial and Applied Mathematics
Education Background

PhD, ORC/EECS, MIT, 1989

BS, Applied Mathematics, Peking University, 1984

Research Field
Optimization methods for big data analytics, complexity and computational issues arising from signal processing, digital communication
Personal Website
https://tomluo123.github.io/
Personal Website (CUHK-Shenzhen)
https://myweb.cuhk.edu.cn/luozhiquan
Email
pengyanni@cuhk.edu.cn
Biography

Zhi-Quan (Tom) Luo (Fellow, IEEE and SIAM) received the B.S. degree in Applied Mathematics from Peking University and the Ph.D. degree in Operations Research from the Massachusetts Institute of Technology (MIT) in 1989. From 1989 to 2003, he was on the faculty of the Department of Electrical and Computer Engineering at McMaster University, Canada, where he held a Tier-1 Canada Research Chair in Information Processing (2001–2003). He subsequently joined the University of Minnesota as a Full Professor and the endowed ADC Chair in Digital Technology. Currently, he is Vice President (Academic) at The Chinese University of Hong Kong, Shenzhen, and serves as the Director of the Shenzhen Research Institute of Big Data (SRIBD) and Executive Director of the Shenzhen Loop Area Institute.

Professor Luo was elected a Fellow of the Royal Society of Canada in 2014 and a Foreign Member of the Chinese Academy of Engineering in 2021. His honors include four IEEE Signal Processing Society Best Paper Awards, a EUSIPCO Best Paper Award, the 2020 ICCM Best Paper Award, the Farkas Prize from INFORMS, the Paul Y. Tseng Memorial Lectureship Prize, the inaugural CSIAM Wang Xuan Applied Mathematics Prize (2022), the Shenzhen Science and Technology Progress Award (First Class, 2023), and the Hua Prize (2025). He served as Editor-in-Chief of the IEEE Transactions on Signal Processing (2012–2014) and as an Associate Editor for several leading journals.

In 2020, Professor Luo pioneered a data-driven approach to network optimization that integrates statistical network models with artificial intelligence. This methodology has been deployed in more than 30 countries to optimize 1.8 million base stations, improving wireless network performance for roughly one quarter of the global population while substantially reducing operators' costs and carbon emissions, thereby delivering significant economic and societal impact worldwide.

Academic Publications

  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.