Defeng Sun

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 62

Top Venues

SIAM J. Optim.

Math. Program.

CoRR

Math. Program. Comput.

Publications

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang
LAMBDA: A Large Model Based Data Agent. CoRR (2024)
Qian Li, Defeng Sun, Yancheng Yuan
An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints. SIAM J. Optim. 34 (2) (2024)
Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR (2024)
Defeng Sun, Lixin Tang, Roberto Baldacci, Zihan Chen
A Decomposition Method for the Group-Based Quay Crane Scheduling Problem. INFORMS J. Comput. 36 (2) (2024)
Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR (2023)
Dongdong Zhang, Shaohua Pan, Shujun Bi, Defeng Sun
Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound. Comput. Optim. Appl. 86 (2) (2023)
Can Wu, Ying Cui, Donghui Li, Defeng Sun
Convex and Nonconvex Risk-Based Linear Regression at Scale. INFORMS J. Comput. 35 (4) (2023)
Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. AAAI (2023)
Qian Li, Binyan Jiang, Defeng Sun
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation. J. Mach. Learn. Res. 24 (2023)
Ying Meng, Fengyuan Shi, Lixin Tang, Defeng Sun
Improvement of Reinforcement Learning With Supermodularity. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Baobin Huang, Lixin Tang, Roberto Baldacci, Gongshu Wang, Defeng Sun
A metaheuristic algorithm for a locomotive routing problem arising in the steel industry. Eur. J. Oper. Res. 308 (1) (2023)
Meixia Lin, Defeng Sun, Kim-Chuan Toh
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems. Math. Program. Comput. 14 (2) (2022)
Xueying Zhao, Minru Bai, Defeng Sun, Libin Zheng
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms. SIAM J. Imaging Sci. 15 (2) (2022)
Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework. CoRR (2022)
Peixin Ge, Ren Zhao, Defeng Sun, Yun Dong
Integrated optimisation of storage and pre-marshalling moves in a slab warehouse. Int. J. Prod. Res. 60 (6) (2022)
Ling Liang, Xudong Li, Defeng Sun, Kim-Chuan Toh
QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems. ACM Trans. Math. Softw. 48 (3) (2022)
Yancheng Yuan, Tsung-Hui Chang, Defeng Sun, Kim-Chuan Toh
A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. SIAM J. Optim. 32 (3) (2022)
Ying Cui, Ling Liang, Defeng Sun, Kim-Chuan Toh
On Degenerate Doubly Nonnegative Projection Problems. Math. Oper. Res. 47 (3) (2022)
Lei Yang, Jia Li, Defeng Sun, Kim-Chuan Toh
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters. J. Mach. Learn. Res. 22 (2021)
Xin Yee Lam, Defeng Sun, Kim-Chuan Toh
Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems. INFORMS J. Optim. 3 (3) (2021)
Liang Chen, Xudong Li, Defeng Sun, Kim-Chuan Toh
On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming. Math. Program. 185 (1-2) (2021)
Defeng Sun, Lixin Tang, Roberto Baldacci, Andrew Lim
An exact algorithm for the unidirectional quay crane scheduling problem with vessel stability. Eur. J. Oper. Res. 291 (1) (2021)
Ning Zhang, Yangjing Zhang, Defeng Sun, Kim-Chuan Toh
An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems. SIAM J. Math. Data Sci. 3 (2) (2021)
Ling Liang, Defeng Sun, Kim-Chuan Toh
An Inexact Augmented Lagrangian Method for Second-Order Cone Programming with Applications. SIAM J. Optim. 31 (3) (2021)
Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. J. Mach. Learn. Res. 22 (2021)
Zhen Gao, Defeng Sun, Ren Zhao, Yun Dong
Ship-unloading scheduling optimization for a steel plant. Inf. Sci. 544 (2021)
Chao Ding, Defeng Sun, Jie Sun, Kim-Chuan Toh
Spectral Operators of Matrices: Semismoothness and Characterizations of the Generalized Jacobian. SIAM J. Optim. 30 (1) (2020)
Xudong Li, Defeng Sun, Kim-Chuan Toh
On the efficient computation of a generalized Jacobian of the projector over the Birkhoff polytope. Math. Program. 179 (1) (2020)
Defeng Sun, Kim-Chuan Toh, Yancheng Yuan, Xin-Yuan Zhao
SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0). Optim. Methods Softw. 35 (1) (2020)
Zheng-Hai Huang, Defeng Sun, Jie Sun
Preface. Asia Pac. J. Oper. Res. 37 (4) (2020)
Yangjing Zhang, Kim-Chuan Toh, Defeng Sun
Learning Graph Laplacian with MCP. CoRR (2020)
Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh
An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems. Math. Program. 179 (1) (2020)
Xudong Li, Defeng Sun, Kim-Chuan Toh
An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming. SIAM J. Optim. 30 (3) (2020)
Shujun Bi, Shaohua Pan, Defeng Sun
A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery. Math. Program. Comput. 12 (4) (2020)
Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh
A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems. SIAM J. Optim. 30 (3) (2020)
Shenglong Hu, Defeng Sun, Kim-Chuan Toh
Best Nonnegative Rank-One Approximations of Tensors. SIAM J. Matrix Anal. Appl. 40 (4) (2019)
Meixia Lin, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
Efficient Sparse Semismooth Newton Methods for the Clustered Lasso Problem. SIAM J. Optim. 29 (3) (2019)
Ying Cui, Defeng Sun, Kim-Chuan Toh
Computing the Best Approximation over the Intersection of a Polyhedral Set and the Doubly Nonnegative Cone. SIAM J. Optim. 29 (4) (2019)
Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh
On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. CoRR (2019)
Ying Cui, Defeng Sun, Kim-Chuan Toh
On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming. Math. Program. 178 (1-2) (2019)
Peipei Tang, Chengjing Wang, Defeng Sun, Kim-Chuan Toh
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. CoRR (2019)
Ziyan Luo, Defeng Sun, Kim-Chuan Toh, Naihua Xiu
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method. J. Mach. Learn. Res. 20 (2019)
Defeng Sun, Lixin Tang, Roberto Baldacci
A Benders decomposition-based framework for solving quay crane scheduling problems. Eur. J. Oper. Res. 273 (2) (2019)
Xudong Li, Defeng Sun, Kim-Chuan Toh
A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications. Math. Program. 175 (1-2) (2019)
Chao Ding, Defeng Sun, Jie Sun, Kim-Chuan Toh
Spectral operators of matrices. Math. Program. 168 (1-2) (2018)
Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
An Efficient Semismooth Newton Based Algorithm for Convex Clustering. CoRR (2018)
Xudong Li, Defeng Sun, Kim-Chuan Toh
QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming. Math. Program. Comput. 10 (4) (2018)
Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
An Efficient Semismooth Newton Based Algorithm for Convex Clustering. ICML (2018)
Deren Han, Defeng Sun, Liwei Zhang
Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming. Math. Oper. Res. 43 (2) (2018)
Xudong Li, Defeng Sun, Kim-Chuan Toh
A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems. SIAM J. Optim. 28 (1) (2018)
Xudong Li, Defeng Sun, Kim-Chuan Toh
On Efficiently Solving the Subproblems of a Level-Set Method for Fused Lasso Problems. SIAM J. Optim. 28 (2) (2018)
Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. CoRR (2018)
Liang Chen, Defeng Sun, Kim-Chuan Toh
An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming. Math. Program. 161 (1-2) (2017)
Liang Chen, Defeng Sun, Kim-Chuan Toh
A note on the convergence of ADMM for linearly constrained convex optimization problems. Comput. Optim. Appl. 66 (2) (2017)
Chao Ding, Defeng Sun, Liwei Zhang
Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems. SIAM J. Optim. 27 (1) (2017)
Ying Cui, Xudong Li, Defeng Sun, Kim-Chuan Toh
On the Convergence Properties of a Majorized Alternating Direction Method of Multipliers for Linearly Constrained Convex Optimization Problems with Coupled Objective Functions. J. Optim. Theory Appl. 169 (3) (2016)
Defeng Sun, Kim-Chuan Toh, Liuqin Yang
An Efficient Inexact ABCD Method for Least Squares Semidefinite Programming. SIAM J. Optim. 26 (2) (2016)
Weimin Miao, Shaohua Pan, Defeng Sun
A rank-corrected procedure for matrix completion with fixed basis coefficients. Math. Program. 159 (1-2) (2016)
Min Li, Defeng Sun, Kim-Chuan Toh
A Majorized ADMM with Indefinite Proximal Terms for Linearly Constrained Convex Composite Optimization. SIAM J. Optim. 26 (2) (2016)
Xudong Li, Defeng Sun, Kim-Chuan Toh
A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions. Math. Program. 155 (1-2) (2016)
Caihua Chen, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
A semismooth Newton-CG based dual PPA for matrix spectral norm approximation problems. Math. Program. 155 (1-2) (2016)
Ying Cui, Chenlei Leng, Defeng Sun
Sparse estimation of high-dimensional correlation matrices. Comput. Stat. Data Anal. 93 (2016)
Defeng Sun, Bin Dai, Chuanxiang Li, Liang Xiao
Color name TLD1. ICIA (2015)
Min Li, Defeng Sun, Kim-Chuan Toh
A Convergent 3-Block Semi-Proximal ADMM for Convex Minimization Problems with One Strongly Convex Block. Asia Pac. J. Oper. Res. 32 (4) (2015)
Liuqin Yang, Defeng Sun, Kim-Chuan Toh
SDPNAL \(+\) : a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints. Math. Program. Comput. 7 (3) (2015)
Defeng Sun, Kim-Chuan Toh, Liuqin Yang
A Convergent 3-Block SemiProximal Alternating Direction Method of Multipliers for Conic Programming with 4-Type Constraints. SIAM J. Optim. 25 (2) (2015)
Chao Ding, Defeng Sun, Kim-Chuan Toh
An introduction to a class of matrix cone programming. Math. Program. 144 (1-2) (2014)
Kaifeng Jiang, Defeng Sun, Kim-Chuan Toh
A partial proximal point algorithm for nuclear norm regularized matrix least squares problems. Math. Program. Comput. 6 (3) (2014)
Zhuoqi Cheng, Shaohui Foong, Defeng Sun, U-Xuan Tan
Algorithm for design of compliant mechanisms for torsional applications. AIM (2014)
Bin Wu, Chao Ding, Defeng Sun, Kim-Chuan Toh
On the Moreau-Yosida Regularization of the Vector k-Norm Related Functions. SIAM J. Optim. 24 (2) (2014)
Chao Ding, Defeng Sun, Jane J. Ye
First order optimality conditions for mathematical programs with semidefinite cone complementarity constraints. Math. Program. 147 (1-2) (2014)
Junfeng Yang, Defeng Sun, Kim-Chuan Toh
A Proximal Point Algorithm for Log-Determinant Optimization with Group Lasso Regularization. SIAM J. Optim. 23 (2) (2013)
Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng
Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. 34 (3) (2013)
Defeng Sun, Lixin Tang
Benders approach for the raw material transportation scheduling problem in steel industry. ICCA (2013)
Kaifeng Jiang, Defeng Sun, Kim-Chuan Toh
An Inexact Accelerated Proximal Gradient Method for Large Scale Linearly Constrained Convex SDP. SIAM J. Optim. 22 (3) (2012)
Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
An implementable proximal point algorithmic framework for nuclear norm minimization. Math. Program. 133 (1-2) (2012)
Weimin Miao, Shaohua Pan, Defeng Sun
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients CoRR (2012)
Xin-Yuan Zhao, Defeng Sun, Kim-Chuan Toh
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming. SIAM J. Optim. 20 (4) (2010)
Houduo Qi, Defeng Sun
Correlation stress testing for value-at-risk: an unconstrained convex optimization approach. Comput. Optim. Appl. 45 (2) (2010)
Chengjing Wang, Defeng Sun, Kim-Chuan Toh
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm. SIAM J. Optim. 20 (6) (2010)
Yan Gao, Defeng Sun
Calibrating Least Squares Semidefinite Programming with Equality and Inequality Constraints. SIAM J. Matrix Anal. Appl. 31 (3) (2009)
Defeng Sun, Jie Sun
Löwner's Operator and Spectral Functions in Euclidean Jordan Algebras. Math. Oper. Res. 33 (2) (2008)
Jein-Shan Chen, Defeng Sun, Jie Sun
property of the squared norm of the SOC Fischer-Burmeister function. Oper. Res. Lett. 36 (3) (2008)
Defeng Sun, Jie Sun, Liwei Zhang
The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming. Math. Program. 114 (2) (2008)
Zi Xian Chan, Defeng Sun
Constraint Nondegeneracy, Strong Regularity, and Nonsingularity in Semidefinite Programming. SIAM J. Optim. 19 (1) (2008)
Zheng-Jian Bai, Delin Chu, Defeng Sun
A Dual Optimization Approach to Inverse Quadratic Eigenvalue Problems with Partial Eigenstructure. SIAM J. Sci. Comput. 29 (6) (2007)
Defeng Sun
The Strong Second-Order Sufficient Condition and Constraint Nondegeneracy in Nonlinear Semidefinite Programming and Their Implications. Math. Oper. Res. 31 (4) (2006)
Zheng-Hai Huang, Defeng Sun, Gongyun Zhao
A Smoothing Newton-Type Algorithm of Stronger Convergence for the Quadratically Constrained Convex Quadratic Programming. Comput. Optim. Appl. 35 (2) (2006)
Houduo Qi, Defeng Sun
A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix. SIAM J. Matrix Anal. Appl. 28 (2) (2006)
Fanwen Meng, Defeng Sun, Gongyun Zhao
Semismoothness of solutions to generalized equations and the Moreau-Yosida regularization. Math. Program. 104 (2-3) (2005)
Defeng Sun, Jie Sun
Strong Semismoothness of the Fischer-Burmeister SDC and SOC Complementarity Functions. Math. Program. 103 (3) (2005)
Zheng-Hai Huang, Liqun Qi, Defeng Sun
- and monotone LCP. Math. Program. 99 (3) (2004)
Jie Sun, Defeng Sun, Liqun Qi
A Squared Smoothing Newton Method for Nonsmooth Matrix Equations and Its Applications in Semidefinite Optimization Problems. SIAM J. Optim. 14 (3) (2004)
Jong-Shi Pang, Defeng Sun, Jie Sun
Semismooth Homeomorphisms and Strong Stability of Semidefinite and Lorentz Complementarity Problems. Math. Oper. Res. 28 (1) (2003)
Houduo Qi, Liqun Qi, Defeng Sun
Solving Karush--Kuhn--Tucker Systems via the Trust Region and the Conjugate Gradient Methods. SIAM J. Optim. 14 (2) (2003)
Xiongda Chen, Defeng Sun, Jie Sun
Complementarity Functions and Numerical Experiments on Some Smoothing Newton Methods for Second-Order-Cone Complementarity Problems. Comput. Optim. Appl. 25 (1-3) (2003)
Defeng Sun, Jie Sun
Semismooth Matrix-Valued Functions. Math. Oper. Res. 27 (1) (2002)
Defeng Sun, Robert S. Womersley, Houduo Qi
A feasible semismooth asymptotically Newton method for mixed complementarity problems. Math. Program. 94 (1) (2002)
Defeng Sun, Jie Sun
Strong Semismoothness of Eigenvalues of Symmetric Matrices and Its Application to Inverse Eigenvalue Problems. SIAM J. Numer. Anal. 40 (6) (2002)
Defeng Sun
A further result on an implicit function theorem for locally Lipschitz functions. Oper. Res. Lett. 28 (4) (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Defeng Sun