Defeng Sun - RankMe

146 papers A* 4Journal 138Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Spherical Manifold-Based Optimization Method for Coordinated Operation of Active Distribution Network With Networked Microgrids. IEEE Trans. Smart Grid Qi Wang, WenChuan Wu, Defeng Sun, Chenhui Lin, Yukang Shen, Yue Yang, Xu Yang, Shuwei Xu
2026	J	`jnl`	Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought. CoRR Yuling Jiao, Yanming Lai, Huazhen Lin, Wensen Ma, Houduo Qi, Defeng Sun
2026	J	`jnl`	Characterizations of the Aubin property of the solution mapping for nonlinear semidefinite programming. Math. Program. Liang Chen, Ruoning Chen, Defeng Sun, Liping Zhang
2026	J	`jnl`	DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval. CoRR Maojun Sun, Yue Wu, Yifei Xie, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang
2026	J	`jnl`	DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems. CoRR Maojun Sun, Yifei Xie, Yue Wu, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang
2026	J	`jnl`	HPR-LP: An implementation of an HPR method for solving linear programming. Math. Program. Comput. Kaihuang Chen, Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao
2026	J	`jnl`	Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with C CoRR Yanming Lai, Defeng Sun
2026	J	`jnl`	Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization. J. Mach. Learn. Res. Yan Li, Defeng Sun, Liping Zhang
2025	J	`jnl`	A Lightweight TSK Fuzzy Classifier With Quantitative Equivalent Fuzzy Rules via Adaptive Weighting. IEEE Trans. Fuzzy Syst. Jin Cao, Ta Zhou, Saikit Lam, Yuanpeng Zhang, Jiang Zhang, Xinyu Fan, Defeng Sun, Jing Cai
2025	J	`jnl`	A Squared Smoothing Newton Method for Semidefinite Programming. Math. Oper. Res. Ling Liang, Defeng Sun, Kim-Chuan Toh
2025	A*	`conf`	A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems. ICLR Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan
2025	J	`jnl`	Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings. SIAM J. Optim. Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao
2025	J	`jnl`	Adaptive sieving: a dimension reduction technique for sparse optimization problems. Math. Program. Comput. Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh
2025	J	`jnl`	An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems. J. Optim. Theory Appl. Bo Yang, Xinyuan Zhao, Xudong Li, Defeng Sun
2025	J	`jnl`	Approximation Bounds for Transformer Networks with Application to Regression. CoRR Yuling Jiao, Yanming Lai, Defeng Sun, Yang Wang, Bokai Yan
2025	J	`jnl`	Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming. SIAM J. Optim. Liang Chen, Ruoning Chen, Defeng Sun, Junyuan Zhu
2025	J	`jnl`	Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise. CoRR Chuan He, Zhaosong Lu, Defeng Sun, Zhanwang Deng
2025	J	`jnl`	Distribution Matching for Self-Supervised Transfer Learning. CoRR Yuling Jiao, Wensen Ma, Defeng Sun, Hansheng Wang, Yang Wang
2025	J	`jnl`	Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition. J. Mach. Learn. Res. Zhenting Luan, Defeng Sun, Haoning Wang, Liping Zhang
2025	J	`jnl`	HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems. IEEE Trans. Pattern Anal. Mach. Intell. Guojun Zhang, Zhexuan Gu, Yancheng Yuan, Defeng Sun
2025	J	`jnl`	Progressive Bound Strengthening via Doubly Nonnegative Cutting Planes for Nonconvex Quadratic Programs. CoRR Zheng Qu, Defeng Sun, Jintao Xu
2025	J	`jnl`	Quantifying low rank approximations of third order symmetric tensors. Math. Program. Shenglong Hu, Defeng Sun, Kim-Chuan Toh
2025	J	`jnl`	Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. J. Mach. Learn. Res. Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
2025	J	`jnl`	Solving polynomial variational inequality problems via Lagrange multiplier expressions and Moment-SOS relaxations. Comput. Optim. Appl. Jiawang Nie, Defeng Sun, Xindong Tang, Min Zhang
2025	J	`jnl`	The sign and the co-monotonicity of Z for a class of decoupled FBSDEs: Theory and applications. Syst. Control. Lett. Shuhui Liu, Defeng Sun
2025	J	`jnl`	dHPR: A Distributed Halpern Peaceman-Rachford Method for Non-smooth Distributed Optimization Problems. CoRR Zhangcheng Feng, Defeng Sun, Yancheng Yuan, Guojun Zhang
2024	J	`jnl`	A Decomposition Method for the Group-Based Quay Crane Scheduling Problem. INFORMS J. Comput. Defeng Sun, Lixin Tang, Roberto Baldacci, Zihan Chen
2024	J	`jnl`	A Survey on Large Language Model-based Agents for Statistics and Data Science. CoRR Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang
2024	J	`jnl`	A highly efficient algorithm for solving exclusive lasso problems. Optim. Methods Softw. Meixia Lin, Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2024	J	`jnl`	An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints. SIAM J. Optim. Qian Li, Defeng Sun, Yancheng Yuan
2024	J	`jnl`	Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure. J. Mach. Learn. Res. Meixia Lin, Defeng Sun, Kim-Chuan Toh, Chengjing Wang
2024	A*	`conf`	Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing. NeurIPS Xixi Jia, Fangchen Feng, Deyu Meng, Defeng Sun
2024	J	`jnl`	LAMBDA: A Large Model Based Data Agent. CoRR Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang
2024	J	`jnl`	Learning graph Laplacian with MCP. Optim. Methods Softw. Yangjing Zhang, Kim-Chuan Toh, Defeng Sun
2024	J	`jnl`	Low-rank quaternion tensor completion for color video inpainting via a novel factorization strategy. Math. Comput. Zhenzhi Qin, Zhenyu Ming, Defeng Sun, Liping Zhang
2024	J	`jnl`	Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR 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
2023	J	`jnl`	A metaheuristic algorithm for a locomotive routing problem arising in the steel industry. Eur. J. Oper. Res. Baobin Huang, Lixin Tang, Roberto Baldacci, Gongshu Wang, Defeng Sun
2023	A*	`conf`	Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. AAAI Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
2023	J	`jnl`	Convex and Nonconvex Risk-Based Linear Regression at Scale. INFORMS J. Comput. Can Wu, Ying Cui, Donghui Li, Defeng Sun
2023	J	`jnl`	Improvement of Reinforcement Learning With Supermodularity. IEEE Trans. Neural Networks Learn. Syst. Ying Meng, Fengyuan Shi, Lixin Tang, Defeng Sun
2023	J	`jnl`	MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation. J. Mach. Learn. Res. Qian Li, Binyan Jiang, Defeng Sun
2023	J	`jnl`	Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
2023	J	`jnl`	Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound. Comput. Optim. Appl. Dongdong Zhang, Shaohua Pan, Shujun Bi, Defeng Sun
2022	J	`jnl`	A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. SIAM J. Optim. Yancheng Yuan, Tsung-Hui Chang, Defeng Sun, Kim-Chuan Toh
2022	J	`jnl`	An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems. Math. Program. Comput. Meixia Lin, Defeng Sun, Kim-Chuan Toh
2022	J	`jnl`	Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework. CoRR Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
2022	J	`jnl`	Integrated optimisation of storage and pre-marshalling moves in a slab warehouse. Int. J. Prod. Res. Peixin Ge, Ren Zhao, Defeng Sun, Yun Dong
2022	J	`jnl`	On Degenerate Doubly Nonnegative Projection Problems. Math. Oper. Res. Ying Cui, Ling Liang, Defeng Sun, Kim-Chuan Toh
2022	J	`jnl`	QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems. ACM Trans. Math. Softw. Ling Liang, Xudong Li, Defeng Sun, Kim-Chuan Toh
2022	J	`jnl`	Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms. SIAM J. Imaging Sci. Xueying Zhao, Minru Bai, Defeng Sun, Libin Zheng
2021	J	`jnl`	A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters. J. Mach. Learn. Res. Lei Yang, Jia Li, Defeng Sun, Kim-Chuan Toh
2021	J	`jnl`	An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems. SIAM J. Math. Data Sci. Ning Zhang, Yangjing Zhang, Defeng Sun, Kim-Chuan Toh
2021	J	`jnl`	An Inexact Augmented Lagrangian Method for Second-Order Cone Programming with Applications. SIAM J. Optim. Ling Liang, Defeng Sun, Kim-Chuan Toh
2021	J	`jnl`	An exact algorithm for the unidirectional quay crane scheduling problem with vessel stability. Eur. J. Oper. Res. Defeng Sun, Lixin Tang, Roberto Baldacci, Andrew Lim
2021	J	`jnl`	Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. J. Mach. Learn. Res. Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
2021	J	`jnl`	On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming. Math. Program. Liang Chen, Xudong Li, Defeng Sun, Kim-Chuan Toh
2021	J	`jnl`	Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems. INFORMS J. Optim. Xin Yee Lam, Defeng Sun, Kim-Chuan Toh
2021	J	`jnl`	Ship-unloading scheduling optimization for a steel plant. Inf. Sci. Zhen Gao, Defeng Sun, Ren Zhao, Yun Dong
2020	J	`jnl`	A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems. SIAM J. Optim. Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh
2020	J	`jnl`	A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery. Math. Program. Comput. Shujun Bi, Shaohua Pan, Defeng Sun
2020	J	`jnl`	An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming. SIAM J. Optim. Xudong Li, Defeng Sun, Kim-Chuan Toh
2020	J	`jnl`	An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems. Math. Program. Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh
2020	J	`jnl`	Learning Graph Laplacian with MCP. CoRR Yangjing Zhang, Kim-Chuan Toh, Defeng Sun
2020	J	`jnl`	On the efficient computation of a generalized Jacobian of the projector over the Birkhoff polytope. Math. Program. Xudong Li, Defeng Sun, Kim-Chuan Toh
2020	J	`jnl`	Preface. Asia Pac. J. Oper. Res. Zheng-Hai Huang, Defeng Sun, Jie Sun
2020	J	`jnl`	SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0). Optim. Methods Softw. Defeng Sun, Kim-Chuan Toh, Yancheng Yuan, Xin-Yuan Zhao
2020	J	`jnl`	Spectral Operators of Matrices: Semismoothness and Characterizations of the Generalized Jacobian. SIAM J. Optim. Chao Ding, Defeng Sun, Jie Sun, Kim-Chuan Toh
2019	J	`jnl`	A Benders decomposition-based framework for solving quay crane scheduling problems. Eur. J. Oper. Res. Defeng Sun, Lixin Tang, Roberto Baldacci
2019	J	`jnl`	A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications. Math. Program. Xudong Li, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. CoRR Peipei Tang, Chengjing Wang, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	Best Nonnegative Rank-One Approximations of Tensors. SIAM J. Matrix Anal. Appl. Shenglong Hu, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	Computing the Best Approximation over the Intersection of a Polyhedral Set and the Doubly Nonnegative Cone. SIAM J. Optim. Ying Cui, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	Efficient Sparse Semismooth Newton Methods for the Clustered Lasso Problem. SIAM J. Optim. Meixia Lin, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. CoRR Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming. Math. Program. Ying Cui, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method. J. Mach. Learn. Res. Ziyan Luo, Defeng Sun, Kim-Chuan Toh, Naihua Xiu
2018	J	`jnl`	A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems. SIAM J. Optim. Xudong Li, Defeng Sun, Kim-Chuan Toh
2018	A*	`conf`	An Efficient Semismooth Newton Based Algorithm for Convex Clustering. ICML Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2018	J	`jnl`	An Efficient Semismooth Newton Based Algorithm for Convex Clustering. CoRR Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2018	J	`jnl`	Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. CoRR Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
2018	J	`jnl`	Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming. Math. Oper. Res. Deren Han, Defeng Sun, Liwei Zhang
2018	J	`jnl`	On Efficiently Solving the Subproblems of a Level-Set Method for Fused Lasso Problems. SIAM J. Optim. Xudong Li, Defeng Sun, Kim-Chuan Toh
2018	J	`jnl`	QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming. Math. Program. Comput. Xudong Li, Defeng Sun, Kim-Chuan Toh
2018	J	`jnl`	Spectral operators of matrices. Math. Program. Chao Ding, Defeng Sun, Jie Sun, Kim-Chuan Toh
2017	J	`jnl`	A note on the convergence of ADMM for linearly constrained convex optimization problems. Comput. Optim. Appl. Liang Chen, Defeng Sun, Kim-Chuan Toh
2017	J	`jnl`	An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming. Math. Program. Liang Chen, Defeng Sun, Kim-Chuan Toh
2017	J	`jnl`	Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems. SIAM J. Optim. Chao Ding, Defeng Sun, Liwei Zhang
2016	J	`jnl`	A Majorized ADMM with Indefinite Proximal Terms for Linearly Constrained Convex Composite Optimization. SIAM J. Optim. Min Li, Defeng Sun, Kim-Chuan Toh
2016	J	`jnl`	A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions. Math. Program. Xudong Li, Defeng Sun, Kim-Chuan Toh
2016	J	`jnl`	A rank-corrected procedure for matrix completion with fixed basis coefficients. Math. Program. Weimin Miao, Shaohua Pan, Defeng Sun
2016	J	`jnl`	A semismooth Newton-CG based dual PPA for matrix spectral norm approximation problems. Math. Program. Caihua Chen, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
2016	J	`jnl`	An Efficient Inexact ABCD Method for Least Squares Semidefinite Programming. SIAM J. Optim. Defeng Sun, Kim-Chuan Toh, Liuqin Yang
2016	J	`jnl`	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. Ying Cui, Xudong Li, Defeng Sun, Kim-Chuan Toh
2016	J	`jnl`	Sparse estimation of high-dimensional correlation matrices. Comput. Stat. Data Anal. Ying Cui, Chenlei Leng, Defeng Sun
2015	J	`jnl`	A Convergent 3-Block Semi-Proximal ADMM for Convex Minimization Problems with One Strongly Convex Block. Asia Pac. J. Oper. Res. Min Li, Defeng Sun, Kim-Chuan Toh
2015	J	`jnl`	A Convergent 3-Block SemiProximal Alternating Direction Method of Multipliers for Conic Programming with 4-Type Constraints. SIAM J. Optim. Defeng Sun, Kim-Chuan Toh, Liuqin Yang
2015	—	`conf`	Color name TLD1. ICIA Defeng Sun, Bin Dai, Chuanxiang Li, Liang Xiao
2015	J	`jnl`	SDPNAL \(+\) : a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints. Math. Program. Comput. Liuqin Yang, Defeng Sun, Kim-Chuan Toh
2014	J	`jnl`	A partial proximal point algorithm for nuclear norm regularized matrix least squares problems. Math. Program. Comput. Kaifeng Jiang, Defeng Sun, Kim-Chuan Toh
2014	—	`conf`	Algorithm for design of compliant mechanisms for torsional applications. AIM Zhuoqi Cheng, Shaohui Foong, Defeng Sun, U-Xuan Tan
2014	J	`jnl`	An introduction to a class of matrix cone programming. Math. Program. Chao Ding, Defeng Sun, Kim-Chuan Toh
2014	J	`jnl`	First order optimality conditions for mathematical programs with semidefinite cone complementarity constraints. Math. Program. Chao Ding, Defeng Sun, Jane J. Ye
2014	J	`jnl`	On the Moreau-Yosida Regularization of the Vector k-Norm Related Functions. SIAM J. Optim. Bin Wu, Chao Ding, Defeng Sun, Kim-Chuan Toh
2013	J	`jnl`	A Proximal Point Algorithm for Log-Determinant Optimization with Group Lasso Regularization. SIAM J. Optim. Junfeng Yang, Defeng Sun, Kim-Chuan Toh
2013	—	`conf`	Benders approach for the raw material transportation scheduling problem in steel industry. ICCA Defeng Sun, Lixin Tang
2013	J	`jnl`	Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng
2012	J	`jnl`	A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients CoRR Weimin Miao, Shaohua Pan, Defeng Sun
2012	J	`jnl`	An Inexact Accelerated Proximal Gradient Method for Large Scale Linearly Constrained Convex SDP. SIAM J. Optim. Kaifeng Jiang, Defeng Sun, Kim-Chuan Toh
2012	J	`jnl`	An implementable proximal point algorithmic framework for nuclear norm minimization. Math. Program. Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
2010	J	`jnl`	A Newton-CG Augmented Lagrangian Method for Semidefinite Programming. SIAM J. Optim. Xin-Yuan Zhao, Defeng Sun, Kim-Chuan Toh
2010	J	`jnl`	Correlation stress testing for value-at-risk: an unconstrained convex optimization approach. Comput. Optim. Appl. Houduo Qi, Defeng Sun
2010	J	`jnl`	Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm. SIAM J. Optim. Chengjing Wang, Defeng Sun, Kim-Chuan Toh
2009	J	`jnl`	Calibrating Least Squares Semidefinite Programming with Equality and Inequality Constraints. SIAM J. Matrix Anal. Appl. Yan Gao, Defeng Sun
2009	—	`ch.`	Nonsmooth and Smoothing Methods for Nonlinear Complementarity Problems and Variational Inequalities. Encyclopedia of Optimization Liqun Qi, Defeng Sun
2008	J	`jnl`	Constraint Nondegeneracy, Strong Regularity, and Nonsingularity in Semidefinite Programming. SIAM J. Optim. Zi Xian Chan, Defeng Sun
2008	J	`jnl`	Löwner's Operator and Spectral Functions in Euclidean Jordan Algebras. Math. Oper. Res. Defeng Sun, Jie Sun
2008	J	`jnl`	The SC Oper. Res. Lett. Jein-Shan Chen, Defeng Sun, Jie Sun
2008	J	`jnl`	The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming. Math. Program. Defeng Sun, Jie Sun, Liwei Zhang
2007	J	`jnl`	A Dual Optimization Approach to Inverse Quadratic Eigenvalue Problems with Partial Eigenstructure. SIAM J. Sci. Comput. Zheng-Jian Bai, Delin Chu, Defeng Sun
2006	J	`jnl`	A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix. SIAM J. Matrix Anal. Appl. Houduo Qi, Defeng Sun
2006	J	`jnl`	A Smoothing Newton-Type Algorithm of Stronger Convergence for the Quadratically Constrained Convex Quadratic Programming. Comput. Optim. Appl. Zheng-Hai Huang, Defeng Sun, Gongyun Zhao
2006	J	`jnl`	The Strong Second-Order Sufficient Condition and Constraint Nondegeneracy in Nonlinear Semidefinite Programming and Their Implications. Math. Oper. Res. Defeng Sun
2005	J	`jnl`	Semismoothness of solutions to generalized equations and the Moreau-Yosida regularization. Math. Program. Fanwen Meng, Defeng Sun, Gongyun Zhao
2005	J	`jnl`	Strong Semismoothness of the Fischer-Burmeister SDC and SOC Complementarity Functions. Math. Program. Defeng Sun, Jie Sun
2004	J	`jnl`	A Squared Smoothing Newton Method for Nonsmooth Matrix Equations and Its Applications in Semidefinite Optimization Problems. SIAM J. Optim. Jie Sun, Defeng Sun, Liqun Qi
2004	J	`jnl`	Sub-quadratic convergence of a smoothing Newton algorithm for the Math. Program. Zheng-Hai Huang, Liqun Qi, Defeng Sun
2003	J	`jnl`	Complementarity Functions and Numerical Experiments on Some Smoothing Newton Methods for Second-Order-Cone Complementarity Problems. Comput. Optim. Appl. Xiongda Chen, Defeng Sun, Jie Sun
2003	J	`jnl`	Semismooth Homeomorphisms and Strong Stability of Semidefinite and Lorentz Complementarity Problems. Math. Oper. Res. Jong-Shi Pang, Defeng Sun, Jie Sun
2003	J	`jnl`	Solving Karush--Kuhn--Tucker Systems via the Trust Region and the Conjugate Gradient Methods. SIAM J. Optim. Houduo Qi, Liqun Qi, Defeng Sun
2002	J	`jnl`	A feasible semismooth asymptotically Newton method for mixed complementarity problems. Math. Program. Defeng Sun, Robert S. Womersley, Houduo Qi
2002	J	`jnl`	Semismooth Matrix-Valued Functions. Math. Oper. Res. Defeng Sun, Jie Sun
2002	J	`jnl`	Strong Semismoothness of Eigenvalues of Symmetric Matrices and Its Application to Inverse Eigenvalue Problems. SIAM J. Numer. Anal. Defeng Sun, Jie Sun
2001	J	`jnl`	A further result on an implicit function theorem for locally Lipschitz functions. Oper. Res. Lett. Defeng Sun
2001	J	`jnl`	Second-Order Algorithms for Generalized Finite and Semi-Infinite Min-Max Problems. SIAM J. Optim. Elijah Polak, Liqun Qi, Defeng Sun
2000	J	`jnl`	A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities. Math. Program. Liqun Qi, Defeng Sun, Guanglu Zhou
2000	J	`jnl`	Convergence Properties of Nonlinear Conjugate Gradient Methods. SIAM J. Optim. Yu-Hong Dai, JiYe Han, Guanghui Liu, Defeng Sun, Hongxia Yin, Ya-Xiang Yuan
2000	J	`jnl`	Improving the convergence of non-interior point algorithms for nonlinear complementarity problems. Math. Comput. Liqun Qi, Defeng Sun
1999	J	`jnl`	A New Unconstrained Differentiable Merit Function for Box Constrained Variational Inequality Problems and a Damped Gauss-Newton Method. SIAM J. Optim. Defeng Sun, Robert S. Womersley
1999	J	`jnl`	First-Order Algorithms for Generalized Semi-Infinite Min-Max Problems. Comput. Optim. Appl. Elijah Polak, Liqun Qi, Defeng Sun
1999	J	`jnl`	On NCP-Functions. Comput. Optim. Appl. Defeng Sun, Liqun Qi
1999	J	`jnl`	Properties of the Moreau-Yosida regularization of a piecewise C Math. Program. Robert Mifflin, Liqun Qi, Defeng Sun
1998	J	`jnl`	A Trust Region Method for Solving Generalized Complementarity Problems. SIAM J. Optim. Houyuan Jiang, Masao Fukushima, Liqun Qi, Defeng Sun
1998	J	`jnl`	Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities. Math. Comput. Xiaojun Chen, Liqun Qi, Defeng Sun
1998	J	`jnl`	Quasi-Newton Bundle-Type Methods for Nondifferentiable Convex Optimization. SIAM J. Optim. Robert Mifflin, Defeng Sun, Liqun Qi
1998	J	`jnl`	Secant methods for semismooth equations. Numerische Mathematik Florian A. Potra, Liqun Qi, Defeng Sun
1997	J	`jnl`	Newton and Quasi-Newton Methods for a Class of Nonsmooth Equations and Related Problems. SIAM J. Optim. Defeng Sun, JiYe Han