World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
54
Citations
14224
World Ranking
824
National Ranking
401

Engineering and Technology

D-Index
54
Citations
14637
World Ranking
3128
National Ranking
927

Overview

Shuzhong Zhang is affiliated with the University of Minnesota in the United States and has contributed extensively to fields within computer science and mathematics. Their research spans more than 80 publications across these two main fields, with a strong emphasis on computational theory, numerical analysis, and optimization methods.

Their work covers several subfields, including computational theory and mathematics, numerical analysis, computational mechanics, artificial intelligence, and management science and operations research. Zhang's main research topics consist of advanced optimization algorithms, sparse and compressive sensing techniques, optimization and variational analysis, stochastic gradient optimization techniques, cystic fibrosis research advances, risk and portfolio optimization, and matrix theory and algorithms.

Zhang has contributed 26 papers to the arXiv preprint repository and multiple articles to journals such as the SIAM Journal on Optimization, Scientific Reports, the Journal of Scientific Computing, and Mathematics of Operations Research. These publication venues represent frequent platforms for dissemination of their research findings.

They have collaborated frequently with a number of co-authors including Chandra L. Shrestha, Benjamin T. Kopp, Derek Singh, Junyu Zhang, and Mingyi Hong.

Notable recent publications by Shuzhong Zhang include:

  • The Unfolded Protein Response Mediator PERK Governs Myeloid Cell-Driven Immunosuppression in Tumors through Inhibition of STING Signaling, 2020, Immunity
  • Cystic fibrosis macrophage function and clinical outcomes after elexacaftor/tezacaftor/ivacaftor, 2022, European Respiratory Journal
  • Consequences of CRISPR-Cas9-Mediated CFTR Knockout in Human Macrophages, 2020, Frontiers in Immunology

In addition to contributions in biological and medical research contexts such as cystic fibrosis, Zhang has authored works in computational optimization and algorithms, reflecting an interdisciplinary research approach.

Best Publications

  • Semidefinite Relaxation of Quadratic Optimization Problems

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

  • Dynamic Spectrum Management: Complexity and Duality

    Zhi-Quan Luo;Shuzhong Zhang

  • On cones of nonnegative quadratic functions

    Jos F. Sturm;Shuzhong Zhang

  • New Results on Quadratic Minimization

    Yinyu Ye;Yinyu Ye;Yinyu Ye;Shuzhong Zhang

  • Approximation Bounds for Quadratic Optimization with Homogeneous Quadratic Constraints

    Zhi-Quan Luo;Nicholas D. Sidiropoulos;Paul Tseng;Shuzhong Zhang

  • Complex Quadratic Optimization and Semidefinite Programming

    Shuzhong Zhang;Yongwei Huang

  • Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint

    A. De Maio;S. De Nicola;Yongwei Huang;Zhi-Quan Luo

  • Ambiguity Function Shaping for Cognitive Radar Via Complex Quartic Optimization

    A. Aubry;A. De Maio;Bo Jiang;Shuzhong Zhang

  • Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint

    Antonio De Maio;Yongwei Huang;M Piezzo;Shuzhong Zhang

  • New results on Hermitian matrix rank-one decomposition

    Wenbao Ai;Yongwei Huang;Shuzhong Zhang

  • Quadratic maximization and semidefinite relaxation

    Shuzhong Zhang

  • Highly accurate model for prediction of lung nodule malignancy with CT scans.

    Jason L. Causey;Jason L. Causey;Junyu Zhang;Shiqian Ma;Bo Jiang

  • Complex Matrix Decomposition and Quadratic Programming

    Yongwei Huang;Shuzhong Zhang

  • Pivot rules for linear programming: A survey on recent theoretical developments

    Tamás Terlaky;Shuzhong Zhang

  • Multivariate Nonnegative Quadratic Mappings

    Zhi-Quan Luo;Jos F. Sturm;Shuzhong Zhang

  • Maximum Block Improvement and Polynomial Optimization

    Bilian Chen;Simai He;Zhening Li;Shuzhong Zhang

  • On the Global Linear Convergence of the ADMM with MultiBlock Variables

    Tianyi Lin;Shiqian Ma;Shuzhong Zhang

  • Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints

    A. De Maio;S. De Nicola;Yongwei Huang;Shuzhong Zhang

  • Superlinear Convergence of a Symmetric Primal-Dual Path Following Algorithm for Semidefinite Programming

    Zhi-Quan Luo;Jos F. Sturm;Shuzhong Zhang

  • Symmetric primal-dual path-following algorithms for semidefinite programming

    Jos F. Sturm;Shuzhong Zhang

  • ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

    Yongwei Huang;Daniel P. Palomar;Shuzhong Zhang

Frequent Co-Authors

Shiqian Ma
Shiqian Ma Rice University
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Xun Yu Zhou
Xun Yu Zhou Columbia University
David D. Yao
David D. Yao Columbia University
Tamás Terlaky
Tamás Terlaky Lehigh University
Daniel P. Palomar
Daniel P. Palomar Hong Kong University of Science and Technology
János Csirik
János Csirik University of Szeged
Jason H. Moore
Jason H. Moore University of Pennsylvania
Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong

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