LUO, Zhiquan Tom
X.Q. Deng Presidential Chair Professor
Vice President (Academic)
Ph.D. Massachusetts Institute of Technology, 1989
BS, Applied Mathematics, Peking University, 1984
Zhi-Quan Luo (Fellow, IEEE) received the B.S. degree in applied mathematics from Peking University, China, and the Ph.D. degree in operations research from MIT in 1989.
From 1989 to 2003, he held a faculty position with the ECE Department, McMaster University, Canada. He held a tier-1 Canada Research Chair of information processing, from 2001 to 2003. After that, he was a Full Professor at the ECE Department, University of Minnesota, and an endowed ADC Chair of digital technology. He is currently the Vice President (Academic) at The Chinese University of Hong Kong (Shenzhen) and the Director at the Shenzhen Research Institute of Big Data (SRIBD).
He has published over 350 refereed papers, books, and special issues. His research mainly addresses mathematical issues in information sciences, with particular focus on the design, analysis, and applications of large-scale optimization algorithms.
He is a fellow of SIAM. He was elected as a fellow of the Royal Society of Canada in 2014 and a foreign member of the Chinese Academy of Engineering (CAE) in 2021. He received the four Best Paper Awards from the IEEE Signal Processing Society, the one Best Paper Award from EUSIPCO, the 2020 ICCM Best Paper Award from International Consortium of Chinese Mathematicians, the Farkas Prize from INFORMS and the prize of Paul Y. Tseng Memorial Lectureship in Continuous Optimization, and some best paper awards from international conferences. In 2022, he was awarded the First CSIAM Wangxuan Prize. He was the Editor-in-Chief for IEEE Transactions on Signal Processing (2012-2014) and served as the Associate Editor for many internationally recognized journals.
Work Experience
2018-present CUHK (SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence, Shenzhen, China
Director
2015-present Shenzhen Research Institute of Big Data, Shenzhen, China
Director
2014-present The Chinese University of Hong Kong, Shenzhen
Vice President (Academic), Presidential Chair Professor
2003-2014 Dept. of Electrical and Computer Engineering, University of Minnesota
Professor, on leave since 2014
2003-2013 Dept. of Electrical and Computer Engineering, University of Minnesota
Professor and ADC Chair in Digital Technology
2001-2004 Dept. of Electrical and Computer Engineering, McMaster University
Canada Research Chair (Tier I) in Information Processing
2000-2003 Dept. of Electrical and Computer Engineering, McMaster University
Department Head
1998-2005 Dept. of Electrical and Computer Engineering, McMaster University
Full Professor
1992-2003 Dept. of Computing and Software, McMaster University
Associate member
1993-1998 Dept. of Electrical and Computer Engineering, McMaster University
Tenured Associate Professor
1989-1993 Dept. of Electrical and Computer Engineering, McMaster University
Tenured Track Assistant Professor
Contacts
General Admin: pengyanni@cuhk.edu.cn
Academic: shurao@cuhk.edu.cn
Research: yiyaoli@cuhk.edu.cn
- 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.
- 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
- 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
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Mingyi Hong and Zhi-Quan Luo, “Iteration complexity analysis of block coordinate descent methods”, Mathematical Programming, Vol. 163, pp. 85–114, May 2017.
- 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.
- 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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.