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- Zhi-Quan Luo

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Mathematics
H-index
79
Citations
28,716
250
World Ranking
64
National Ranking
2

Electronics and Electrical Engineering
H-index
67
Citations
21,390
200
World Ranking
336
National Ranking
35

Computer Science
H-index
69
Citations
19,618
236
World Ranking
866
National Ranking
74

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

- Computer network
- Algorithm
- Mathematical optimization

Zhi-Quan Luo mainly investigates Mathematical optimization, Algorithm, Control theory, Convex optimization and Wireless sensor network. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Convergence, Beamforming and Robustness. His biological study spans a wide range of topics, including Ambiguity function, Signal, Radar and Affine transformation.

His studies in Control theory integrate themes in fields like Time complexity, MIMO, Quadrature amplitude modulation and Topology. The various areas that Zhi-Quan Luo examines in his Convex optimization study include Posynomial and Optimization problem. His research in Wireless sensor network intersects with topics in Quantization, Computer engineering, Network topology, Estimator and Sensor array.

- Semidefinite Relaxation of Quadratic Optimization Problems (1824 citations)
- Mathematical Programs with Equilibrium Constraints (1441 citations)
- Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem (1135 citations)

Zhi-Quan Luo spends much of his time researching Mathematical optimization, Algorithm, Convex optimization, Beamforming and Control theory. His work in Mathematical optimization tackles topics such as Computational complexity theory which are related to areas like Time complexity. His Algorithm study combines topics in areas such as Multiuser detection, Detector, Signal-to-noise ratio and Sensor fusion.

His Convex optimization research is multidisciplinary, incorporating elements of Convex function and Semidefinite programming. His work is dedicated to discovering how Beamforming, MIMO are connected with Base station and other disciplines. His Control theory research includes elements of Wireless sensor network and Communication channel.

- Mathematical optimization (38.84%)
- Algorithm (24.89%)
- Convex optimization (14.81%)

- Algorithm (24.89%)
- Mathematical optimization (38.84%)
- Beamforming (12.88%)

His scientific interests lie mostly in Algorithm, Mathematical optimization, Beamforming, Distributed computing and Applied mathematics. The concepts of his Algorithm study are interwoven with issues in MIMO and Coordinate system. His Mathematical optimization research incorporates elements of Function, Convergence, Telecommunications link and Convex optimization.

His Convex optimization research incorporates themes from Point and Sparse matrix. His research integrates issues of Iterative method, Speech recognition, Robustness and Minimum-variance unbiased estimator in his study of Beamforming. His work carried out in the field of Distributed computing brings together such families of science as Telecommunications network, Node, Subnetwork and Efficient energy use.

- Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems (464 citations)
- On the linear convergence of the alternating direction method of multipliers (422 citations)
- A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing (216 citations)

- Computer network
- Statistics
- Algorithm

His main research concerns Mathematical optimization, Algorithm, Convergence, Applied mathematics and Coordinate descent. In the subject of general Mathematical optimization, his work in Slack variable is often linked to Block, thereby combining diverse domains of study. His study in Algorithm is interdisciplinary in nature, drawing from both MIMO, Initialization and Norm.

His study focuses on the intersection of MIMO and fields such as Minimum mean square error with connections in the field of Beamforming. The study incorporates disciplines such as Iterated function, Selection, Function, Variable and Augmented Lagrangian method in addition to Convergence. His work deals with themes such as Discrete mathematics, Sublinear function, Combinatorics, Minification and Gradient descent, which intersect with Coordinate descent.

This overview was generated by a machine learning system which analysed the scientistâ€™s body of work. If you have any feedback, you can contact us here.

Mathematical Programs with Equilibrium Constraints

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

**(1996)**

2212 Citations

Semidefinite Relaxation of Quadratic Optimization Problems

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

IEEE Signal Processing Magazine **(2010)**

2095 Citations

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

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

IEEE Transactions on Signal Processing **(2003)**

1502 Citations

Transmit beamforming for physical-layer multicasting

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

IEEE Transactions on Signal Processing **(2006)**

1137 Citations

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.

IEEE Transactions on Signal Processing **(2011)**

964 Citations

Dynamic Spectrum Management: Complexity and Duality

Zhi-Quan Luo;Shuzhong Zhang.

IEEE Journal of Selected Topics in Signal Processing **(2008)**

751 Citations

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

Meisam Razaviyayn;Mingyi Hong;Zhi Quan Luo.

Siam Journal on Optimization **(2013)**

687 Citations

Robust adaptive beamforming for general-rank signal models

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

IEEE Transactions on Signal Processing **(2003)**

546 Citations

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

Z. Q. Luo;P. Tseng.

Journal of Optimization Theory and Applications **(1992)**

531 Citations

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

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

IEEE Transactions on Signal Processing **(2008)**

505 Citations

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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