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Mathematics
China
2026
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Computer Science
China
2025

D-Index & Metrics

Mathematics

D-Index
97
Citations
41416
World Ranking
56
National Ranking
3

Electronics and Electrical Engineering

D-Index
90
Citations
39646
World Ranking
289
National Ranking
45

Research.com Recognitions

  • 2026 - Research.com Mathematics in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Mathematics in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Mathematics in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2014 - Fellow of the Royal Society of Canada Academy of Science
  • 2011 - SIAM Fellow For the development of novel applied mathematics ideas and methods for signal processing and digital communication.
  • 2007 - IEEE Fellow For contributions to modern optimization and its applications in signal processing and digital communications

Overview

Zhi-Quan Luo is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research spans multiple fields within computer science and engineering, focusing particularly on electrical and electronic engineering, artificial intelligence, and computer networks and communications.

Their work covers various specialized subfields such as:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computational Mechanics
  • Computer Vision and Pattern Recognition

Research topics that feature prominently in their publications include:

  • Sparse and Compressive Sensing Techniques
  • Advanced MIMO Systems Optimization
  • Software-Defined Networks and 5G
  • Adversarial Robustness in Machine Learning
  • Advanced Wireless Communication Technologies
  • Stochastic Gradient Optimization Techniques
  • Network Security and Intrusion Detection

Zhi-Quan Luo has contributed extensively to scientific literature, with a significant number of publications appearing in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Network and Service Management
  • Signal Processing

Recent notable papers include:

  • "Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Transfer Learning and Meta Learning-Based Fast Downlink Beamforming Adaptation," 2020, published in IEEE Transactions on Wireless Communications
  • "Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?," 2023, published in IEEE Transactions on Signal Processing
  • "Configuring Intelligent Reflecting Surface With Performance Guarantees: Blind Beamforming," 2022, published in IEEE Transactions on Wireless Communications
  • "Intelligent Surfaces Empowered Wireless Network: Recent Advances and the Road to 6G," 2024, published in Proceedings of the IEEE

The scientist has collaborated frequently with several co-authors, including:

  • Qingjiang Shi
  • Kaiming Shen
  • Ya-Feng Liu
  • Wei-Kun Chen
  • Tsung-Hui Chang

Zhi-Quan Luo has received several distinctions in their career, such as:

  • Fellow of the Royal Society of Canada (2014) by the Academy of Science
  • SIAM Fellow (2011) for the development of novel applied mathematics ideas and methods for signal processing and digital communication
  • IEEE Fellow (2007) for contributions to modern optimization and its applications in signal processing and digital communications

Best Publications

  • Semidefinite Relaxation of Quadratic Optimization Problems

    Zhi-quan Luo;Wing-kin Ma;Anthony Man-Cho So;Yinyu Ye

  • An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel

    Qingjiang Shi;M. Razaviyayn;Zhi-Quan Luo;Chen He

  • Mathematical Programs with Equilibrium Constraints

    Zhi-Quan Luo;Jong-Shi Pang;Daniel Ralph

  • Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem

    S.A. Vorobyov;A.B. Gershman;Zhi-Quan Luo

  • Transmit beamforming for physical-layer multicasting

    N.D. Sidiropoulos;T.N. Davidson;Zhi-Quan Luo

  • A UNIFIED CONVERGENCE ANALYSIS OF BLOCK SUCCESSIVE MINIMIZATION METHODS FOR NONSMOOTH OPTIMIZATION

    Meisam Razaviyayn;Mingyi Hong;Zhi Quan Luo

  • Dynamic Spectrum Management: Complexity and Duality

    Zhi-Quan Luo;Shuzhong Zhang

  • Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

    Mingyi Hong;Zhi Quan Luo;Meisam Razaviyayn

  • On the linear convergence of the alternating direction method of multipliers

    Mingyi Hong;Zhi-Quan Luo

  • On the convergence of the coordinate descent method for convex differentiable minimization

    Z. Q. Luo;P. Tseng

  • Robust adaptive beamforming for general-rank signal models

    S. Shahbazpanahi;A.B. Gershman;Zhi-Quan Luo;Kon Max Wong

  • Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

    E. Karipidis;N.D. Sidiropoulos;Zhi-Quan Luo

  • An introduction to convex optimization for communications and signal processing

    Zhi-Quan Luo;Wei Yu

  • Distributed Beamforming for Relay Networks Based on Second-Order Statistics of the Channel State Information

    V. Havary-Nassab;S. Shahbazpanahi;A. Grami;Zhi-Quan Luo

  • Error bounds and convergence analysis of feasible descent methods: a general approach

    Zhi Quan Luo;Paul Tseng

  • Smoothing Functions for Second-Order-Cone Complementarity Problems

    Masao Fukushima;Zhi-Quan Luo;Paul Tseng

  • Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA

    Wing-Kin Ma;T.N. Davidson;Kon Max Wong;Zhi-Quan Luo

  • Guaranteed Matrix Completion via Non-Convex Factorization

    Ruoyu Sun;Zhi-Quan Luo

  • A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

    Mingyi Hong;Meisam Razaviyayn;Zhi-Quan Luo;Jong-Shi Pang

  • Universal decentralized estimation in a bandwidth constrained sensor network

    Zhi-Quan Luo

  • Power scheduling of universal decentralized estimation in sensor networks

    Jin-Jun Xiao;Shuguang Cui;Zhi-Quan Luo;A.J. Goldsmith

  • Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel

    Eleftherios Karipidis;Nicholas D. Sidiropoulos;Zhi-Quan Luo

Frequent Co-Authors

Mingyi Hong
Mingyi Hong University of Minnesota
Meisam Razaviyayn
Meisam Razaviyayn University of Southern California
Kon Max Wong
Kon Max Wong McMaster University
Timothy N. Davidson
Timothy N. Davidson McMaster University
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Shuzhong Zhang
Shuzhong Zhang University of Minnesota
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Paul Tseng
Paul Tseng University of Washington

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