Zaiwen Wen

According to our database, Zaiwen Wen authored at least 75 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Riemannian Natural Gradient Methods.

Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen

SIAM J. Sci. Comput., February, 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, January, 2024

Convergence Analysis of an Adaptively Regularized Natural Gradient Method.

Jiayuan Wu, Jiang Hu, Hongchao Zhang, Zaiwen Wen

IEEE Trans. Signal Process., 2024

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures.

Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen

CoRR, 2024

ODE-based Learning to Optimize.

Zhonglin Xie, Wotao Yin, Zaiwen Wen

CoRR, 2024

Formalization of Complexity Analysis of the First-order Optimization Algorithms.

Chenyi Li, Ziyu Wang, Wanyi He, Yuxuan Wu, Shengyang Xu, Zaiwen Wen

CoRR, 2024

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks.

Zhifa Ke, Zaiwen Wen, Junyu Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems.

Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen

J. Sci. Comput., November, 2023

An Entropy-Regularized ADMM For Binary Quadratic Programming.

Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen

J. Glob. Optim., November, 2023

A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming.

Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen

SIAM J. Optim., September, 2023

Decoding LDPC Codes by Using Negative Proximal Regularization.

Yiming Chen, Rui Wang, Jinglong Zhu, Zaiwen Wen

IEEE Trans. Commun., July, 2023

A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning.

Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen

SIAM J. Optim., June, 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., May, 2023

An exact penalty approach for optimization with nonnegative orthogonality constraints.

Bo Jiang, Xiang Meng, Zaiwen Wen, Xiaojun Chen

Math. Program., March, 2023

Monte Carlo Policy Gradient Method for Binary Optimization.

Cheng Chen, Ruitao Chen, Tianyou Li, Ruicheng Ao, Zaiwen Wen

CoRR, 2023

Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation.

Zhifa Ke, Zaiwen Wen, Junyu Zhang

CoRR, 2023

Stronger Mixed-Size Placement Backbone Considering Second-Order Information.

Yifan Chen, Zaiwen Wen, Yun Liang, Yibo Lin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition.

Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem.

Jiaqi Zhang, Zeyu Jin, Bo Jiang, Zaiwen Wen

IEEE Trans. Wirel. Commun., 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

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization.

Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang

Math. Program., 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 Multiscale Semi-Smooth Newton Method for Optimal Transport.

Yiyang Liu, Zaiwen Wen, Wotao Yin

J. Sci. Comput., 2022

Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation.

Liyuan Cao, Zaiwen Wen, Ya-Xiang Yuan

CoRR, 2022

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP.

Fan Chen, Junyu Zhang, Zaiwen Wen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster.

Yifei Wang, Zeyu Jia, Zaiwen Wen

SIAM J. Sci. Comput., 2021

Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints.

Jinxin Wang, Fan Zhang, Zhonglin Xie, Zaiwen Wen, Gong Zhang

J. Commun. Inf. Networks, 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

A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning.

Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen

CoRR, 2021

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods.

Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Ground States of Spin-F Bose-Einstein Condensates.

Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen

SIAM J. Sci. Comput., 2020

Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction.

Yongfeng Li, Haoyang Liu, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Sci. Comput., 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

Symmetric rank-1 approximation of symmetric high-order tensors.

Leqin Wu, Xin Liu, Zaiwen Wen

Optim. Methods Softw., 2020

Towards solving 2-TBSG efficiently.

Zeyu Jia, Zaiwen Wen, Yinyu Ye

Optim. Methods Softw., 2020

Preface.

Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen

Optim. Methods Softw., 2020

2019

Globally Convergent Levenberg-Marquardt Method for Phase Retrieval.

Chao Ma, Xin Liu, Zaiwen Wen

IEEE Trans. Inf. Theory, 2019

Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints.

Jiang Hu, Bo Jiang, Lin Lin, Zaiwen Wen, Ya-Xiang Yuan

SIAM 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

Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold.

Honglin Yuan, Xiaoyi Gu, Rongjie Lai, Zaiwen Wen

J. Sci. Comput., 2019

Ground states and their characterization of spin-F Bose-Einstein condensates.

Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen

CoRR, 2019

Toward Solving 2-TBSG Efficiently.

Zeyu Jia, Zaiwen Wen, Yinyu Ye

CoRR, 2019

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

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

Adaptive Quadratically Regularized Newton Method for Riemannian Optimization.

Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan

SIAM J. Matrix Anal. Appl., 2018

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

2017

Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation.

Zaiwen Wen, Yin Zhang

SIAM J. Matrix Anal. Appl., 2017

Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format.

Junyu Zhang, Zaiwen Wen, Yin Zhang

J. Sci. Comput., 2017

A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates.

Xinming Wu, Zaiwen Wen, Weizhu Bao

J. Sci. Comput., 2017

2016

L_p-norm Regularization Algorithms for Optimization Over Permutation Matrices.

Bo Jiang, Ya-Feng Liu, Zaiwen Wen

SIAM J. Optim., 2016

Trace-Penalty Minimization for Large-Scale Eigenspace Computation.

Zaiwen Wen, Chao Yang, Xin Liu, Yin Zhang

J. Sci. Comput., 2016

2015

A Proximal Gradient Method for Ensemble Density Functional Theory.

Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu

SIAM J. Sci. Comput., 2015

On the Analysis of the Discretized Kohn-Sham Density Functional Theory.

Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan

SIAM J. Numer. Anal., 2015

An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations.

Xin Liu, Zaiwen Wen, Yin Zhang

SIAM J. Optim., 2015

2014

Gradient Type Optimization Methods For Electronic Structure Calculations.

Xin Zhang, Jinwei Zhu, Zaiwen Wen, Aihui Zhou

SIAM J. Sci. Comput., 2014

On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.

Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Matrix Anal. Appl., 2014

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

2013

Decentralized Jointly Sparse Optimization by Reweighted l_q Minimization.

Qing Ling, Zaiwen Wen, Wotao Yin

IEEE Trans. Signal Process., 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

Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions.

Xin Liu, Zaiwen Wen, Yin Zhang

SIAM J. Sci. Comput., 2013

Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations.

Lanhui Wang, Amit Singer, Zaiwen Wen

SIAM J. Imaging Sci., 2013

A feasible method for optimization with orthogonality constraints.

Zaiwen Wen, Wotao Yin

Math. Program., 2013

2012

On the convergence of an active-set method for ℓ₁ minimization.

Zaiwen Wen, Wotao Yin, Hongchao Zhang, Donald Goldfarb

Optim. Methods Softw., 2012

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm.

Zaiwen Wen, Wotao Yin, Yin Zhang

Math. Program. Comput., 2012

Orientation Determination from Cryo-EM images Using Least Unsquared Deviation

Lanhui Wang, Amit Singer, Zaiwen Wen

CoRR, 2012

Decentralized low-rank matrix completion.

Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

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

An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors

Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang

CoRR, 2011

Dynamic compressive spectrum sensing for cognitive radio networks.

Wotao Yin, Zaiwen Wen, Shuyi Li, Jia (Jasmine) Meng, Zhu Han

Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010

A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation.

Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang

SIAM J. Sci. Comput., 2010

Alternating direction augmented Lagrangian methods for semidefinite programming.

Zaiwen Wen, Donald Goldfarb, Wotao Yin

Math. Program. Comput., 2010

2009

A Line Search Multigrid Method for Large-Scale Nonlinear Optimization.

Zaiwen Wen, Donald Goldfarb

SIAM J. Optim., 2009

A Curvilinear Search Method for p-Harmonic Flows on Spheres.

Donald Goldfarb, Zaiwen Wen, Wotao Yin

SIAM J. Imaging Sci., 2009

Solving low-rank matrix completion problems efficiently.

Donald Goldfarb, Shiqian Ma, Zaiwen Wen

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2007

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