On Direct Methods for Time-Limited Signal and Image Reconstruction and Enhancement. - Yanfei Wang; Zaiwen Wen; M. Zuhair Nashed; Qiyu Sun (Int. J. Wavelets Multiresolution Inf. Process., 2007)

Solving low-rank matrix completion problems efficiently. - Donald Goldfarb; Shiqian Ma; Zaiwen Wen (Allerton, 2009)

A Curvilinear Search Method for p-Harmonic Flows on Spheres. - Donald Goldfarb; Zaiwen Wen; Wotao Yin (SIAM J. Imaging Sci., 2009)

A Line Search Multigrid Method for Large-Scale Nonlinear Optimization. - Zaiwen Wen; Donald Goldfarb (SIAM J. Optim., 2009)

Alternating direction augmented Lagrangian methods for semidefinite programming. - Zaiwen Wen; Donald Goldfarb; Wotao Yin (Math. Program. Comput., 2010)

A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation. - Zaiwen Wen; Wotao Yin; Donald Goldfarb; Yin Zhang 010 (SIAM J. Sci. Comput., 2010)

Dynamic compressive spectrum sensing for cognitive radio networks. - Wotao Yin; Zaiwen Wen; Shuyi Li; Jia (Jasmine) Meng; Zhu Han 001 (CISS, 2011)

An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors - Yangyang Xu; Wotao Yin; Zaiwen Wen; Yin Zhang 010 (CoRR, 2011)

Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements. - Jason N. Laska; Zaiwen Wen; Wotao Yin; Richard G. Baraniuk (IEEE Trans. Signal Process., 2011)

Decentralized low-rank matrix completion. - Qing Ling 001; Yangyang Xu; Wotao Yin; Zaiwen Wen (ICASSP, 2012)

Orientation Determination from Cryo-EM images Using Least Unsquared Deviation - Lanhui Wang; Amit Singer; Zaiwen Wen (CoRR, 2012)

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. - Zaiwen Wen; Wotao Yin; Yin Zhang 010 (Math. Program. Comput., 2012)

On the convergence of an active-set method for ℓ1 minimization. - Zaiwen Wen; Wotao Yin; Hongchao Zhang; Donald Goldfarb (Optim. Methods Softw., 2012)

A feasible method for optimization with orthogonality constraints. - Zaiwen Wen; Wotao Yin (Math. Program., 2013)

Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations. - Lanhui Wang; Amit Singer; Zaiwen Wen (SIAM J. Imaging Sci., 2013)

Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions. - Xin Liu 001; Zaiwen Wen; Yin Zhang 010 (SIAM J. Sci. Comput., 2013)

Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. - Zaiwen Wen; Andre Milzarek; Michael Ulbrich; Hongchao Zhang (SIAM J. Sci. Comput., 2013)

Decentralized Jointly Sparse Optimization by Reweighted lq Minimization. - Qing Ling 001; Zaiwen Wen; Wotao Yin (IEEE Trans. Signal Process., 2013)

Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization. - Rongjie Lai; Zaiwen Wen; Wotao Yin; Xianfeng Gu; Lok Ming Lui (J. Sci. Comput., 2014)

On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory. - Xin Liu 001; Xiao Wang; Zaiwen Wen; Ya-Xiang Yuan (SIAM J. Matrix Anal. Appl., 2014)

Gradient Type Optimization Methods For Electronic Structure Calculations. - Xin Zhang; Jinwei Zhu; Zaiwen Wen; Aihui Zhou (SIAM J. Sci. Comput., 2014)

An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations. - Xin Liu 001; Zaiwen Wen; Yin Zhang 010 (SIAM J. Optim., 2015)

On the Analysis of the Discretized Kohn-Sham Density Functional Theory. - Xin Liu 001; Zaiwen Wen; Xiao Wang; Michael Ulbrich; Yaxiang Yuan (SIAM J. Numer. Anal., 2015)

A Proximal Gradient Method for Ensemble Density Functional Theory. - Michael Ulbrich; Zaiwen Wen; Chao Yang 001; Dennis Klöckner; Zhaosong Lu (SIAM J. Sci. Comput., 2015)

Trace-Penalty Minimization for Large-Scale Eigenspace Computation. - Zaiwen Wen; Chao Yang 001; Xin Liu 001; Yin Zhang 010 (J. Sci. Comput., 2016)

Lp-norm Regularization Algorithms for Optimization Over Permutation Matrices. - Bo Jiang 010; Ya-Feng Liu; Zaiwen Wen (SIAM J. Optim., 2016)

A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates. - Xinming Wu; Zaiwen Wen; Weizhu Bao (J. Sci. Comput., 2017)

Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format. - Junyu Zhang; Zaiwen Wen; Yin Zhang 010 (J. Sci. Comput., 2017)

Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation. - Zaiwen Wen; Yin Zhang 010 (SIAM J. Matrix Anal. Appl., 2017)

A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs. - Xiantao Xiao; Yongfeng Li; Zaiwen Wen; Liwei Zhang (J. Sci. Comput., 2018)

Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. - Jiang Hu; Andre Milzarek; Zaiwen Wen; Yaxiang Yuan (SIAM J. Matrix Anal. Appl., 2018)

A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations. - Yongfeng Li; Zaiwen Wen; Chao Yang; Ya-Xiang Yuan (SIAM J. Sci. Comput., 2018)

A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. - Junyu Zhang; Haoyang Liu; Zaiwen Wen; Shuzhong Zhang (SIAM J. Sci. Comput., 2018)

Toward Solving 2-TBSG Efficiently. - Zeyu Jia; Zaiwen Wen; Yinyu Ye 001 (CoRR, 2019)

Ground states and their characterization of spin-F Bose-Einstein condensates. - Tonghua Tian; Yongyong Cai; Xinming Wu; Zaiwen Wen (CoRR, 2019)

Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold. - Honglin Yuan; Xiaoyi Gu; Rongjie Lai; Zaiwen Wen (J. Sci. Comput., 2019)

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. - Andre Milzarek; Xiantao Xiao; Shicong Cen; Zaiwen Wen; Michael Ulbrich (SIAM J. Optim., 2019)

Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints. - Jiang Hu; Bo Jiang 010; Lin Lin 001; Zaiwen Wen; Ya-Xiang Yuan (SIAM J. Sci. Comput., 2019)

Globally Convergent Levenberg-Marquardt Method for Phase Retrieval. - Chao Ma 012; Xin Liu 001; Zaiwen Wen (IEEE Trans. Inf. Theory, 2019)

Preface. - Yu-Hong Dai; Xin Liu 001; Jiawang Nie; Zaiwen Wen (Optim. Methods Softw., 2020)

Towards solving 2-TBSG efficiently. - Zeyu Jia; Zaiwen Wen; Yinyu Ye 001 (Optim. Methods Softw., 2020)

Symmetric rank-1 approximation of symmetric high-order tensors. - Leqin Wu; Xin Liu 001; Zaiwen Wen (Optim. Methods Softw., 2020)

Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains. - Yaqi Duan; Mengdi Wang; Zaiwen Wen; Yaxiang Yuan (SIAM J. Matrix Anal. Appl., 2020)

Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction. - Yongfeng Li; Haoyang Liu; Zaiwen Wen; Ya-Xiang Yuan (SIAM J. Sci. Comput., 2020)

Ground States of Spin-F Bose-Einstein Condensates. - Tonghua Tian; Yongyong Cai; Xinming Wu; Zaiwen Wen (SIAM J. Sci. Comput., 2020)

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. - Minghan Yang; Dong Xu; Hongyu Chen; Zaiwen Wen; Mengyun Chen (CVPR, 2021)

A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning. - Yongfeng Li; Mingming Zhao; Weijie Chen; Zaiwen Wen (CoRR, 2021)

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. - Minghan Yang; Dong Xu; Qiwen Cui; Zaiwen Wen; Pengxiang Xu (CoRR, 2021)

Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints. - Jinxin Wang; Fan Zhang 016; Zhonglin Xie; Zaiwen Wen; Gong Zhang 001 (J. Commun. Inf. Networks, 2021)

Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. - Yifei Wang 005; Zeyu Jia; Zaiwen Wen (SIAM J. Sci. Comput., 2021)

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. - Fan Chen; Junyu Zhang; Zaiwen Wen (NeurIPS, 2022)

Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation. - Liyuan Cao; Zaiwen Wen; Ya-Xiang Yuan (CoRR, 2022)

A Multiscale Semi-Smooth Newton Method for Optimal Transport. - Yiyang Liu; Zaiwen Wen; Wotao Yin (J. Sci. Comput., 2022)

Sketch-Based Empirical Natural Gradient Methods for Deep Learning. - Minghan Yang; Dong Xu; Zaiwen Wen; Mengyun Chen; Pengxiang Xu (J. Sci. Comput., 2022)

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. - Minghan Yang; Andre Milzarek; Zaiwen Wen; Tong Zhang 001 (Math. Program., 2022)

On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint. - Haixiang Zhang; Andre Milzarek; Zaiwen Wen; Wotao Yin (Math. Program., 2022)

Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem. - Jiaqi Zhang; Zeyu Jin; Bo Jiang 010; Zaiwen Wen (IEEE Trans. Wirel. Commun., 2022)

LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. - Yu Zhang 189; Yifan Chen; Zhonglin Xie; Hong Xu 001; Zaiwen Wen; Yibo Lin; Bei Yu 001 (DAC, 2023)

Stronger Mixed-Size Placement Backbone Considering Second-Order Information. - Yifan Chen; Zaiwen Wen; Yun Liang 001; Yibo Lin (ICCAD, 2023)

Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation. - Zhifa Ke; Zaiwen Wen; Junyu Zhang (CoRR, 2023)

Monte Carlo Policy Gradient Method for Binary Optimization. - Cheng Chen; Ruitao Chen; Tianyou Li; Ruicheng Ao; Zaiwen Wen (CoRR, 2023)

An exact penalty approach for optimization with nonnegative orthogonality constraints. - Bo Jiang 010; Xiang Meng 004; Zaiwen Wen; Xiaojun Chen (Math. Program., 2023)

An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. - Minghan Yang; Dong Xu; Qiwen Cui; Zaiwen Wen; Pengxiang Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning. - Yongfeng Li; Mingming Zhao; Weijie Chen 003; Zaiwen Wen (SIAM J. Optim., 2023)

Decoding LDPC Codes by Using Negative Proximal Regularization. - Yiming Chen; Rui Wang 060; Jinglong Zhu; Zaiwen Wen (IEEE Trans. Commun., 2023)

A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. - Yifei Wang 005; Kangkang Deng; Haoyang Liu; Zaiwen Wen (SIAM J. Optim., 2023)

An Entropy-Regularized ADMM For Binary Quadratic Programming. - Haoming Liu; Kangkang Deng; Haoyang Liu; Zaiwen Wen (J. Glob. Optim., 2023)

A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems. - Zhenyuan Zhu; Fan Chen; Junyu Zhang; Zaiwen Wen (J. Sci. Comput., 2023)

HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method. - Chunyuan Zhao; Zizheng Guo; Rui Wang 060; Zaiwen Wen; Yun Liang 001; Yibo Lin (ICCAD, 2024)

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. - Zhifa Ke; Zaiwen Wen; Junyu Zhang (ICML, 2024)

Formalization of Complexity Analysis of the First-order Optimization Algorithms. - Chenyi Li; Ziyu Wang 008; Wanyi He; Yuxuan Wu; Shengyang Xu; Zaiwen Wen (CoRR, 2024)

ODE-based Learning to Optimize. - Zhonglin Xie; Wotao Yin; Zaiwen Wen (CoRR, 2024)

Convergence Analysis of an Adaptively Regularized Natural Gradient Method. - Jiayuan Wu; Jiang Hu; Hongchao Zhang; Zaiwen Wen (IEEE Trans. Signal Process., 2024)

Predicting sequenced dental treatment plans from electronic dental records using deep learning. - Haifan Chen; Pufan Liu; Zhaoxing Chen; Qingxiao Chen; Zaiwen Wen; Ziqing Xie (Artif. Intell. Medicine, 2024)

Riemannian Natural Gradient Methods. - Jiang Hu; Ruicheng Ao; Anthony Man-Cho So; Minghan Yang; Zaiwen Wen (SIAM J. Sci. Comput., 2024)

A Customized Augmented Lagrangian Method for Block-Structured Integer Programming. - Rui Wang 060; Chuwen Zhang; Shanwen Pu; Jianjun Gao 001; Zaiwen Wen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures. - Yiming Chen 003; Yuan Zhang; Liyuan Cao; Kun Yuan 001; Zaiwen Wen (ICLR, 2025)

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models. - Yiming Chen 003; Yuan Zhang; Yin Liu; Kun Yuan 001; Zaiwen Wen (CoRR, 2025)

OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling. - Hongliang Lu; Zhonglin Xie; Yaoyu Wu; Can Ren; Yuxuan Chen; Zaiwen Wen (CoRR, 2025)

An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization. - Zhanwang Deng; Kangkang Deng; Jiang Hu; Zaiwen Wen (J. Sci. Comput., 2025)

LMask: Learn to Solve Constrained Routing Problems with Lazy Masking. - Tianyou Li; Haijun Zou; Jiayuan Wu; Zaiwen Wen (CoRR, 2025)

Accelerating Optimization via Differentiable Stopping Time. - Zhonglin Xie; Yiman Fong; Haoran Yuan; Zaiwen Wen (CoRR, 2025)

On the Analysis of Semismooth Newton-Type Methods for Composite Optimization. - Jiang Hu; Tonghua Tian; Shaohua Pan; Zaiwen Wen (J. Sci. Comput., 2025)