Newton and Quasi-Newton Methods for a Class of Nonsmooth Equations and Related Problems. - Defeng Sun; Jiye Han (SIAM J. Optim., 1997)

Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities. - Xiaojun Chen 001; Liqun Qi 001; Defeng Sun (Math. Comput., 1998)

Secant methods for semismooth equations. - Florian A. Potra; Liqun Qi 001; Defeng Sun (Numerische Mathematik, 1998)

A Trust Region Method for Solving Generalized Complementarity Problems. - Houyuan Jiang; Masao Fukushima; Liqun Qi 001; Defeng Sun (SIAM J. Optim., 1998)

Quasi-Newton Bundle-Type Methods for Nondifferentiable Convex Optimization. - Robert Mifflin; Defeng Sun; Liqun Qi 001 (SIAM J. Optim., 1998)

First-Order Algorithms for Generalized Semi-Infinite Min-Max Problems. - Elijah Polak; Liqun Qi 001; Defeng Sun (Comput. Optim. Appl., 1999)

On NCP-Functions. - Defeng Sun; Liqun Qi 001 (Comput. Optim. Appl., 1999)

Properties of the Moreau-Yosida regularization of a piecewise C2 convex function. - Robert Mifflin; Liqun Qi 001; Defeng Sun (Math. Program., 1999)

A New Unconstrained Differentiable Merit Function for Box Constrained Variational Inequality Problems and a Damped Gauss-Newton Method. - Defeng Sun; Robert S. Womersley (SIAM J. Optim., 1999)

Improving the convergence of non-interior point algorithms for nonlinear complementarity problems. - Liqun Qi 001; Defeng Sun (Math. Comput., 2000)

A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities. - Liqun Qi 001; Defeng Sun; Guanglu Zhou (Math. Program., 2000)

Convergence Properties of Nonlinear Conjugate Gradient Methods. - Yu-Hong Dai; Jiye Han; Guanghui Liu; Defeng Sun; Hongxia Yin; Ya-Xiang Yuan (SIAM J. Optim., 2000)

A further result on an implicit function theorem for locally Lipschitz functions. - Defeng Sun (Oper. Res. Lett., 2001)

Second-Order Algorithms for Generalized Finite and Semi-Infinite Min-Max Problems. - Elijah Polak; Liqun Qi 001; Defeng Sun (SIAM J. Optim., 2001)

Semismooth Matrix-Valued Functions. - Defeng Sun; Jie Sun 001 (Math. Oper. Res., 2002)

A feasible semismooth asymptotically Newton method for mixed complementarity problems. - Defeng Sun; Robert S. Womersley; Houduo Qi (Math. Program., 2002)

Strong Semismoothness of Eigenvalues of Symmetric Matrices and Its Application to Inverse Eigenvalue Problems. - Defeng Sun; Jie Sun 001 (SIAM J. Numer. Anal., 2002)

Complementarity Functions and Numerical Experiments on Some Smoothing Newton Methods for Second-Order-Cone Complementarity Problems. - Xiongda Chen; Defeng Sun; Jie Sun 001 (Comput. Optim. Appl., 2003)

Semismooth Homeomorphisms and Strong Stability of Semidefinite and Lorentz Complementarity Problems. - Jong-Shi Pang; Defeng Sun; Jie Sun 001 (Math. Oper. Res., 2003)

Solving Karush–Kuhn–Tucker Systems via the Trust Region and the Conjugate Gradient Methods. - Houduo Qi; Liqun Qi 001; Defeng Sun (SIAM J. Optim., 2003)

Sub-quadratic convergence of a smoothing Newton algorithm for the P 0- and monotone LCP. - Zheng-Hai Huang; Liqun Qi 001; Defeng Sun (Math. Program., 2004)

A Squared Smoothing Newton Method for Nonsmooth Matrix Equations and Its Applications in Semidefinite Optimization Problems. - Jie Sun 001; Defeng Sun; Liqun Qi 001 (SIAM J. Optim., 2004)

Semismoothness of solutions to generalized equations and the Moreau-Yosida regularization. - Fanwen Meng; Defeng Sun; Gongyun Zhao (Math. Program., 2005)

Strong Semismoothness of the Fischer-Burmeister SDC and SOC Complementarity Functions. - Defeng Sun; Jie Sun 001 (Math. Program., 2005)

A Smoothing Newton-Type Algorithm of Stronger Convergence for the Quadratically Constrained Convex Quadratic Programming. - Zheng-Hai Huang; Defeng Sun; Gongyun Zhao (Comput. Optim. Appl., 2006)

The Strong Second-Order Sufficient Condition and Constraint Nondegeneracy in Nonlinear Semidefinite Programming and Their Implications. - Defeng Sun (Math. Oper. Res., 2006)

A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix. - Houduo Qi; Defeng Sun (SIAM J. Matrix Anal. Appl., 2006)

A Dual Optimization Approach to Inverse Quadratic Eigenvalue Problems with Partial Eigenstructure. - Zheng-Jian Bai; Delin Chu; Defeng Sun (SIAM J. Sci. Comput., 2007)

Löwner's Operator and Spectral Functions in Euclidean Jordan Algebras. - Defeng Sun; Jie Sun 001 (Math. Oper. Res., 2008)

The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming. - Defeng Sun; Jie Sun 001; Liwei Zhang (Math. Program., 2008)

The SC1 property of the squared norm of the SOC Fischer-Burmeister function. - Jein-Shan Chen; Defeng Sun; Jie Sun 001 (Oper. Res. Lett., 2008)

Constraint Nondegeneracy, Strong Regularity, and Nonsingularity in Semidefinite Programming. - Zi Xian Chan; Defeng Sun (SIAM J. Optim., 2008)

Calibrating Least Squares Semidefinite Programming with Equality and Inequality Constraints. - Yan Gao; Defeng Sun (SIAM J. Matrix Anal. Appl., 2009)

Nonsmooth and Smoothing Methods for Nonlinear Complementarity Problems and Variational Inequalities. - Liqun Qi 001; Defeng Sun (Encyclopedia of Optimization, 2009)

Correlation stress testing for value-at-risk: an unconstrained convex optimization approach. - Houduo Qi; Defeng Sun (Comput. Optim. Appl., 2010)

Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm. - Chengjing Wang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2010)

A Newton-CG Augmented Lagrangian Method for Semidefinite Programming. - Xin-Yuan Zhao; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2010)

An implementable proximal point algorithmic framework for nuclear norm minimization. - Yong-Jin Liu 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2012)

An Inexact Accelerated Proximal Gradient Method for Large Scale Linearly Constrained Convex SDP. - Kaifeng Jiang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2012)

Benders approach for the raw material transportation scheduling problem in steel industry. - Defeng Sun; Lixin Tang (ICCA, 2013)

A Proximal Point Algorithm for Log-Determinant Optimization with Group Lasso Regularization. - Junfeng Yang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2013)

Hankel Matrix Rank Minimization with Applications to System Identification and Realization. - Maryam Fazel; Ting Kei Pong; Defeng Sun; Paul Tseng (SIAM J. Matrix Anal. Appl., 2013)

Algorithm for design of compliant mechanisms for torsional applications. - Zhuoqi Cheng; Shaohui Foong; Defeng Sun; U-Xuan Tan (AIM, 2014)

An introduction to a class of matrix cone programming. - Chao Ding; Defeng Sun; Kim-Chuan Toh (Math. Program., 2014)

First order optimality conditions for mathematical programs with semidefinite cone complementarity constraints. - Chao Ding; Defeng Sun; Jane J. Ye (Math. Program., 2014)

A partial proximal point algorithm for nuclear norm regularized matrix least squares problems. - Kaifeng Jiang; Defeng Sun; Kim-Chuan Toh (Math. Program. Comput., 2014)

On the Moreau-Yosida Regularization of the Vector k-Norm Related Functions. - Bin Wu; Chao Ding; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2014)

Color name TLD1. - Defeng Sun; Bin Dai 001; Chuanxiang Li; Liang Xiao 007 (ICIA, 2015)

A Convergent 3-Block Semi-Proximal ADMM for Convex Minimization Problems with One Strongly Convex Block. - Min Li; Defeng Sun; Kim-Chuan Toh (Asia Pac. J. Oper. Res., 2015)

SDPNAL (+ ) : a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints. - Liuqin Yang; Defeng Sun; Kim-Chuan Toh (Math. Program. Comput., 2015)

A Convergent 3-Block SemiProximal Alternating Direction Method of Multipliers for Conic Programming with 4-Type Constraints. - Defeng Sun; Kim-Chuan Toh; Liuqin Yang (SIAM J. Optim., 2015)

Sparse estimation of high-dimensional correlation matrices. - Ying Cui 004; Chenlei Leng; Defeng Sun (Comput. Stat. Data Anal., 2016)

On the Convergence Properties of a Majorized Alternating Direction Method of Multipliers for Linearly Constrained Convex Optimization Problems with Coupled Objective Functions. - Ying Cui 004; Xudong Li 004; Defeng Sun; Kim-Chuan Toh (J. Optim. Theory Appl., 2016)

A semismooth Newton-CG based dual PPA for matrix spectral norm approximation problems. - Caihua Chen; Yong-Jin Liu 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2016)

A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2016)

A rank-corrected procedure for matrix completion with fixed basis coefficients. - Weimin Miao; Shaohua Pan; Defeng Sun (Math. Program., 2016)

A Majorized ADMM with Indefinite Proximal Terms for Linearly Constrained Convex Composite Optimization. - Min Li; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2016)

An Efficient Inexact ABCD Method for Least Squares Semidefinite Programming. - Defeng Sun; Kim-Chuan Toh; Liuqin Yang (SIAM J. Optim., 2016)

A note on the convergence of ADMM for linearly constrained convex optimization problems. - Liang Chen 006; Defeng Sun; Kim-Chuan Toh (Comput. Optim. Appl., 2017)

An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming. - Liang Chen 006; Defeng Sun; Kim-Chuan Toh (Math. Program., 2017)

Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems. - Chao Ding; Defeng Sun; Liwei Zhang (SIAM J. Optim., 2017)

An Efficient Semismooth Newton Based Algorithm for Convex Clustering. - Yancheng Yuan; Defeng Sun; Kim-Chuan Toh (ICML, 2018)

Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming. - Deren Han; Defeng Sun; Liwei Zhang (Math. Oper. Res., 2018)

Spectral operators of matrices. - Chao Ding; Defeng Sun; Jie Sun 001; Kim-Chuan Toh (Math. Program., 2018)

QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (Math. Program. Comput., 2018)

A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2018)

On Efficiently Solving the Subproblems of a Level-Set Method for Fused Lasso Problems. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2018)

On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. - Yancheng Yuan; Meixia Lin; Defeng Sun; Kim-Chuan Toh (CoRR, 2019)

A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. - Peipei Tang; Chengjing Wang; Defeng Sun; Kim-Chuan Toh (CoRR, 2019)

A Benders decomposition-based framework for solving quay crane scheduling problems. - Defeng Sun; Lixin Tang; Roberto Baldacci (Eur. J. Oper. Res., 2019)

Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method. - Ziyan Luo; Defeng Sun; Kim-Chuan Toh; Naihua Xiu (J. Mach. Learn. Res., 2019)

On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming. - Ying Cui 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2019)

A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2019)

Computing the Best Approximation over the Intersection of a Polyhedral Set and the Doubly Nonnegative Cone. - Ying Cui 004; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2019)

Efficient Sparse Semismooth Newton Methods for the Clustered Lasso Problem. - Meixia Lin; Yong-Jin Liu; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2019)

Best Nonnegative Rank-One Approximations of Tensors. - Shenglong Hu; Defeng Sun; Kim-Chuan Toh (SIAM J. Matrix Anal. Appl., 2019)

Preface. - Zheng-Hai Huang; Defeng Sun; Jie Sun 001 (Asia Pac. J. Oper. Res., 2020)

On the efficient computation of a generalized Jacobian of the projector over the Birkhoff polytope. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2020)

An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems. - Yangjing Zhang; Ning Zhang; Defeng Sun; Kim-Chuan Toh (Math. Program., 2020)

A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery. - Shujun Bi; Shaohua Pan; Defeng Sun (Math. Program. Comput., 2020)

SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0). - Defeng Sun; Kim-Chuan Toh; Yancheng Yuan; Xin-Yuan Zhao (Optim. Methods Softw., 2020)

Spectral Operators of Matrices: Semismoothness and Characterizations of the Generalized Jacobian. - Chao Ding; Defeng Sun; Jie Sun 001; Kim-Chuan Toh (SIAM J. Optim., 2020)

An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming. - Xudong Li 004; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2020)

A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems. - Yangjing Zhang; Ning Zhang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2020)

An exact algorithm for the unidirectional quay crane scheduling problem with vessel stability. - Defeng Sun; Lixin Tang; Roberto Baldacci; Andrew Lim 001 (Eur. J. Oper. Res., 2021)

Ship-unloading scheduling optimization for a steel plant. - Zhen Gao; Defeng Sun; Ren Zhao; Yun Dong (Inf. Sci., 2021)

Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. - Defeng Sun; Kim-Chuan Toh; Yancheng Yuan (J. Mach. Learn. Res., 2021)

A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters. - Lei Yang; Jia Li; Defeng Sun; Kim-Chuan Toh (J. Mach. Learn. Res., 2021)

On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming. - Liang Chen 006; Xudong Li 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2021)

An Inexact Augmented Lagrangian Method for Second-Order Cone Programming with Applications. - Ling Liang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2021)

An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems. - Ning Zhang; Yangjing Zhang; Defeng Sun; Kim-Chuan Toh (SIAM J. Math. Data Sci., 2021)

Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems. - Xin Yee Lam; Defeng Sun; Kim-Chuan Toh (INFORMS J. Optim., 2021)

Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework. - Shuai Wang 013; Yanqing Xu; Zhiguo Wang 005; Tsung-Hui Chang; Tony Q. S. Quek; Defeng Sun (CoRR, 2022)

Integrated optimisation of storage and pre-marshalling moves in a slab warehouse. - Peixin Ge; Ren Zhao; Defeng Sun; Yun Dong (Int. J. Prod. Res., 2022)

On Degenerate Doubly Nonnegative Projection Problems. - Ying Cui 004; Ling Liang; Defeng Sun; Kim-Chuan Toh (Math. Oper. Res., 2022)

An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems. - Meixia Lin; Defeng Sun; Kim-Chuan Toh (Math. Program. Comput., 2022)

Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms. - Xueying Zhao; Minru Bai; Defeng Sun; Libin Zheng (SIAM J. Imaging Sci., 2022)

QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems. - Ling Liang; Xudong Li 004; Defeng Sun; Kim-Chuan Toh (ACM Trans. Math. Softw., 2022)

A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. - Yancheng Yuan; Tsung-Hui Chang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2022)

Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. - Shuai Wang 033; Yanqing Xu; Zhiguo Wang 005; Tsung-Hui Chang; Tony Q. S. Quek; Defeng Sun (AAAI, 2023)

Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. - Ziwen Wang; Yancheng Yuan; Jiaming Ma; Tieyong Zeng; Defeng Sun (CoRR, 2023)

Convex and Nonconvex Risk-Based Linear Regression at Scale. - Can Wu; Ying Cui 004; Donghui Li; Defeng Sun (INFORMS J. Comput., 2023)

MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation. - Qian Li; Binyan Jiang; Defeng Sun (J. Mach. Learn. Res., 2023)

A metaheuristic algorithm for a locomotive routing problem arising in the steel industry. - Baobin Huang; Lixin Tang; Roberto Baldacci; Gongshu Wang; Defeng Sun (Eur. J. Oper. Res., 2023)

Improvement of Reinforcement Learning With Supermodularity. - Ying Meng; Fengyuan Shi 003; Lixin Tang; Defeng Sun (IEEE Trans. Neural Networks Learn. Syst., 2023)

Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound. - Dongdong Zhang; Shaohua Pan; Shujun Bi; Defeng Sun (Comput. Optim. Appl., 2023)

Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing. - Xixi Jia; Fangchen Feng; Deyu Meng; Defeng Sun (NeurIPS, 2024)

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. - 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 197; et al. (CoRR, 2024)

LAMBDA: A Large Model Based Data Agent. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

A Survey on Large Language Model-based Agents for Statistics and Data Science. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

A Decomposition Method for the Group-Based Quay Crane Scheduling Problem. - Defeng Sun; Lixin Tang; Roberto Baldacci; Zihan Chen (INFORMS J. Comput., 2024)

Low-rank quaternion tensor completion for color video inpainting via a novel factorization strategy. - Zhenzhi Qin; Zhenyu Ming; Defeng Sun; Liping Zhang (Math. Comput., 2024)

A highly efficient algorithm for solving exclusive lasso problems. - Meixia Lin; Yancheng Yuan; Defeng Sun; Kim-Chuan Toh (Optim. Methods Softw., 2024)

Learning graph Laplacian with MCP. - Yangjing Zhang; Kim-Chuan Toh; Defeng Sun (Optim. Methods Softw., 2024)

An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints. - Qian Li; Defeng Sun; Yancheng Yuan (SIAM J. Optim., 2024)

A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems. - Shulan Zhu; Chenglong Bao; Defeng Sun; Yancheng Yuan (ICLR, 2025)

The sign and the co-monotonicity of Z for a class of decoupled FBSDEs: Theory and applications. - Shuhui Liu; Defeng Sun (Syst. Control. Lett., 2025)

Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming. - Liang Chen 006; Ruoning Chen; Defeng Sun; Junyuan Zhu (SIAM J. Optim., 2025)

Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings. - Defeng Sun; Yancheng Yuan; Guojun Zhang; Xinyuan Zhao (SIAM J. Optim., 2025)

An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems. - Bo Yang; Xinyuan Zhao; Xudong Li; Defeng Sun (J. Optim. Theory Appl., 2025)

Distribution Matching for Self-Supervised Transfer Learning. - Yuling Jiao; Wensen Ma; Defeng Sun; Hansheng Wang; Yang Wang (CoRR, 2025)

Solving polynomial variational inequality problems via Lagrange multiplier expressions and Moment-SOS relaxations. - Jiawang Nie; Defeng Sun; Xindong Tang; Min Zhang 062 (Comput. Optim. Appl., 2025)

Approximation Bounds for Transformer Networks with Application to Regression. - Yuling Jiao; Yanming Lai; Defeng Sun; Yang Wang; Bokai Yan (CoRR, 2025)

Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise. - Chuan He 004; Zhaosong Lu; Defeng Sun; Zhanwang Deng (CoRR, 2025)

HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems. - Guojun Zhang; Zhexuan Gu; Yancheng Yuan; Defeng Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Lightweight TSK Fuzzy Classifier With Quantitative Equivalent Fuzzy Rules via Adaptive Weighting. - Jin Cao; Ta Zhou; Saikit Lam; Yuanpeng Zhang; Jiang Zhang; Xinyu Fan; Defeng Sun; Jing Cai 001 (IEEE Trans. Fuzzy Syst., 2025)

Quantifying low rank approximations of third order symmetric tensors. - Shenglong Hu; Defeng Sun; Kim-Chuan Toh (Math. Program., 2025)