World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10031
World Ranking
4376
National Ranking
586

Mathematics

D-Index
57
Citations
10339
World Ranking
706
National Ranking
37

Research.com Recognitions

  • 2020 - SIAM Fellow For contributions to algorithms and software for conic optimization, particularly matrix optimization.

Overview

Defeng Sun is affiliated with Hong Kong Polytechnic University in China. Their research spans multiple disciplines, including Mathematics, Computer Science, and Engineering, with a strong focus on numerical and computational methods.

Their main fields of study are:

  • Mathematics
  • Computer Science
  • Engineering

Their work extends to several specialized subfields, such as:

  • Numerical Analysis
  • Computational Theory and Mathematics
  • Computational Mechanics
  • Statistics and Probability
  • Computer Vision and Pattern Recognition

Defeng Sun's research topics include:

  • Advanced Optimization Algorithms Research
  • Sparse and Compressive Sensing Techniques
  • Optimization and Variational Analysis
  • Statistical Methods and Inference
  • Matrix Theory and Algorithms
  • Tensor decomposition and applications
  • Image and Signal Denoising Methods

The scientist has published extensively in various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • Mathematical Programming Computation
  • Mathematics of Operations Research
  • Mathematical Programming

Several coauthors have collaborated with Defeng Sun repeatedly, including:

  • Kim-Chuan Toh
  • Yancheng Yuan
  • Ling Liang
  • Meixia Lin
  • Ruoning Chen

Recent papers by Defeng Sun include:

  • An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming, 2020, SIAM Journal on Optimization
  • Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms, 2022, SIAM Journal on Imaging Sciences
  • Subgroup analysis in the heterogeneous Cox model, 2020, Statistics in Medicine
  • Spectral Operators of Matrices: Semismoothness and Characterizations of the Generalized Jacobian, 2020, SIAM Journal on Optimization
  • Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound, 2023, Computational Optimization and Applications

Defeng Sun's work has been recognized with the award of SIAM Fellow in 2020 for contributions to algorithms and software for conic optimization, particularly matrix optimization.

Best Publications

  • Hankel Matrix Rank Minimization with Applications to System Identification and Realization

    Maryam Fazel;Ting Kei Pong;Defeng Sun;Paul Tseng

  • A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities

    Liqun Qi;Defeng Sun;Guanglu Zhou

  • A Newton-CG Augmented Lagrangian Method for Semidefinite Programming

    Xin-Yuan Zhao;Defeng Sun;Kim-Chuan Toh

  • A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix

    Houduo Qi;Defeng Sun

  • Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities

    X. Chen;L. Qi;D. Sun

  • Convergence Properties of Nonlinear Conjugate Gradient Methods

    Yuhong Dai;Jiye Han;Guanghui Liu;Defeng Sun

  • Semismooth Matrix-Valued Functions

    Defeng Sun;Jie Sun

  • SDPNAL$$$$: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints

    Liuqin Yang;Defeng Sun;Kim-Chuan Toh

  • Complementarity Functions and Numerical Experiments on Some Smoothing Newton Methods for Second-Order-Cone Complementarity Problems

    X. D. Chen;D. Sun;J. Sun

  • On NCP-Functions

    Defeng Sun;Liqun Qi

  • The Strong Second-Order Sufficient Condition and Constraint Nondegeneracy in Nonlinear Semidefinite Programming and Their Implications

    Defeng Sun

  • A class of iterative methods for solving nonlinear projection equations

    D. Sun

  • Semismooth homeomorphisms and strong stability of semidefinite and Lorentz complementarity problems

    Jong-Shi Pang;Defeng Sun;Jie Sun

  • A Convergent 3-Block SemiProximal Alternating Direction Method of Multipliers for Conic Programming with 4-Type Constraints

    Defeng Sun;Kim-Chuan Toh;Liuqin Yang

  • The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming

    Defeng Sun;Jie Sun;Liwei Zhang

  • A highly efficient semismooth Newton augmented lagrangian method for solving lasso problems

    Xudong Li;Defeng Sun;Defeng Sun;Kim Chuan Toh

  • Löwner's Operator and Spectral Functions in Euclidean Jordan Algebras

    Defeng Sun;Jie Sun

  • A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions

    Xudong Li;Defeng Sun;Kim-Chuan Toh

  • An efficient inexact symmetric Gauss---Seidel based majorized ADMM for high-dimensional convex composite conic programming

    Liang Chen;Defeng Sun;Kim-Chuan Toh

  • Newton and Quasi-Newton Methods for a Class of Nonsmooth Equations and Related Problems

    Defeng Sun;Jiye Han

  • An implementable proximal point algorithmic framework for nuclear norm minimization

    Yong-Jin Liu;Defeng Sun;Kim-Chuan Toh

  • A Convergent 3-Block Semi-Proximal Alternating Direction Method of Multipliers for Conic Programming with $4$-Type of Constraints

    Defeng Sun;Kim-Chuan Toh;Liuqin Yang

Frequent Co-Authors

Kim-Chuan Toh
Kim-Chuan Toh National University of Singapore
Liqun Qi
Liqun Qi Hong Kong Polytechnic University
Robert S. Womersley
Robert S. Womersley University of New South Wales
Deren Han
Deren Han Nanjing Normal University
Elijah Polak
Elijah Polak University of California, Berkeley
Jong-Shi Pang
Jong-Shi Pang University of Southern California
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Zheng-Hai Huang
Zheng-Hai Huang Tianjin University
Yu-Hong Dai
Yu-Hong Dai Chinese Academy of Sciences
Masao Fukushima
Masao Fukushima Kyoto University

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