Zaiwen Wen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 53

Top Topics

Convergence Analysis

Temporal Difference

Augmented Lagrangian Method

Top Venues

J. Sci. Comput.

SIAM J. Sci. Comput.

Publications

Zhonglin Xie, Wotao Yin, Zaiwen Wen
ODE-based Learning to Optimize. CoRR (2024)
Chenyi Li, Ziyu Wang, Wanyi He, Yuxuan Wu, Shengyang Xu, Zaiwen Wen
Formalization of Complexity Analysis of the First-order Optimization Algorithms. CoRR (2024)
Jiayuan Wu, Jiang Hu, Hongchao Zhang, Zaiwen Wen
Convergence Analysis of an Adaptively Regularized Natural Gradient Method. IEEE Trans. Signal Process. 72 (2024)
Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen
Riemannian Natural Gradient Methods. SIAM J. Sci. Comput. 46 (1) (2024)
Zhifa Ke, Zaiwen Wen, Junyu Zhang
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. CoRR (2024)
Haifan Chen, Pufan Liu, Zhaoxing Chen, Qingxiao Chen, Zaiwen Wen, Ziqing Xie
Predicting sequenced dental treatment plans from electronic dental records using deep learning. Artif. Intell. Medicine 147 (2024)
Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning. SIAM J. Optim. 33 (2) (2023)
Cheng Chen, Ruitao Chen, Tianyou Li, Ruicheng Ao, Zaiwen Wen
Monte Carlo Policy Gradient Method for Binary Optimization. CoRR (2023)
Yifan Chen, Zaiwen Wen, Yun Liang, Yibo Lin
Stronger Mixed-Size Placement Backbone Considering Second-Order Information. ICCAD (2023)
Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen
A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems. J. Sci. Comput. 97 (2) (2023)
Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu
LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. DAC (2023)
Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. SIAM J. Optim. 33 (3) (2023)
Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen
An Entropy-Regularized ADMM For Binary Quadratic Programming. J. Glob. Optim. 87 (2) (2023)
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Zhifa Ke, Zaiwen Wen, Junyu Zhang
Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation. CoRR (2023)
Yiming Chen, Rui Wang, Jinglong Zhu, Zaiwen Wen
Decoding LDPC Codes by Using Negative Proximal Regularization. IEEE Trans. Commun. 71 (7) (2023)
Bo Jiang, Xiang Meng, Zaiwen Wen, Xiaojun Chen
An exact penalty approach for optimization with nonnegative orthogonality constraints. Math. Program. 198 (1) (2023)
Haixiang Zhang, Andre Milzarek, Zaiwen Wen, Wotao Yin
On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint. Math. Program. 195 (1) (2022)
Fan Chen, Junyu Zhang, Zaiwen Wen
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. NeurIPS (2022)
Yiyang Liu, Zaiwen Wen, Wotao Yin
A Multiscale Semi-Smooth Newton Method for Optimal Transport. J. Sci. Comput. 91 (2) (2022)
Jiaqi Zhang, Zeyu Jin, Bo Jiang, Zaiwen Wen
Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem. IEEE Trans. Wirel. Commun. 21 (11) (2022)
Liyuan Cao, Zaiwen Wen, Ya-Xiang Yuan
Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation. CoRR (2022)
Fan Chen, Junyu Zhang, Zaiwen Wen
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. CoRR (2022)
Minghan Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu
Sketch-Based Empirical Natural Gradient Methods for Deep Learning. J. Sci. Comput. 92 (3) (2022)
Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen
Riemannian Natural Gradient Methods. CoRR (2022)
Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang
A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. Math. Program. 194 (1) (2022)
Yifei Wang, Zeyu Jia, Zaiwen Wen
Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. SIAM J. Sci. Comput. 43 (5) (2021)
Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. CVPR (2021)
Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning. CoRR (2021)
Jinxin Wang, Fan Zhang, Zhonglin Xie, Zaiwen Wen, Gong Zhang
Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints. J. Commun. Inf. Networks 6 (3) (2021)
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. CoRR (2021)
Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen
Preface. Optim. Methods Softw. 35 (2) (2020)
Leqin Wu, Xin Liu, Zaiwen Wen
Symmetric rank-1 approximation of symmetric high-order tensors. Optim. Methods Softw. 35 (2) (2020)
Yongfeng Li, Haoyang Liu, Zaiwen Wen, Ya-Xiang Yuan
Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction. SIAM J. Sci. Comput. 42 (3) (2020)
Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen
Ground States of Spin-F Bose-Einstein Condensates. SIAM J. Sci. Comput. 42 (4) (2020)
Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains. SIAM J. Matrix Anal. Appl. 41 (1) (2020)
Zeyu Jia, Zaiwen Wen, Yinyu Ye
Towards solving 2-TBSG efficiently. Optim. Methods Softw. 35 (4) (2020)
Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen
Ground states and their characterization of spin-F Bose-Einstein condensates. CoRR (2019)
Zeyu Jia, Zaiwen Wen, Yinyu Ye
Toward Solving 2-TBSG Efficiently. CoRR (2019)
Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. 29 (4) (2019)
Chao Ma, Xin Liu, Zaiwen Wen
Globally Convergent Levenberg-Marquardt Method for Phase Retrieval. IEEE Trans. Inf. Theory 65 (4) (2019)
Jiang Hu, Bo Jiang, Lin Lin, Zaiwen Wen, Ya-Xiang Yuan
Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints. SIAM J. Sci. Comput. 41 (4) (2019)
Honglin Yuan, Xiaoyi Gu, Rongjie Lai, Zaiwen Wen
Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold. J. Sci. Comput. 80 (2) (2019)
Yongfeng Li, Zaiwen Wen, Chao Yang, Ya-Xiang Yuan
A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations. SIAM J. Sci. Comput. 40 (6) (2018)
Xiantao Xiao, Yongfeng Li, Zaiwen Wen, Liwei Zhang
A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs. J. Sci. Comput. 76 (1) (2018)
Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan
Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. SIAM J. Matrix Anal. Appl. 39 (3) (2018)
Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. SIAM J. Sci. Comput. 40 (5) (2018)
Xinming Wu, Zaiwen Wen, Weizhu Bao
A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates. J. Sci. Comput. 73 (1) (2017)
Zaiwen Wen, Yin Zhang
Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation. SIAM J. Matrix Anal. Appl. 38 (2) (2017)
Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. CoRR (2017)
Junyu Zhang, Zaiwen Wen, Yin Zhang
Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format. J. Sci. Comput. 70 (2) (2017)
Bo Jiang, Ya-Feng Liu, Zaiwen Wen
-norm Regularization Algorithms for Optimization Over Permutation Matrices. SIAM J. Optim. 26 (4) (2016)
Zaiwen Wen, Chao Yang, Xin Liu, Yin Zhang
Trace-Penalty Minimization for Large-Scale Eigenspace Computation. J. Sci. Comput. 66 (3) (2016)
Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu
A Proximal Gradient Method for Ensemble Density Functional Theory. SIAM J. Sci. Comput. 37 (4) (2015)
Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan
On the Analysis of the Discretized Kohn-Sham Density Functional Theory. SIAM J. Numer. Anal. 53 (4) (2015)
Xin Liu, Zaiwen Wen, Yin Zhang
An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations. SIAM J. Optim. 25 (3) (2015)
Rongjie Lai, Zaiwen Wen, Wotao Yin, Xianfeng Gu, Lok Ming Lui
Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization. J. Sci. Comput. 58 (3) (2014)
Xin Zhang, Jinwei Zhu, Zaiwen Wen, Aihui Zhou
Gradient Type Optimization Methods For Electronic Structure Calculations. SIAM J. Sci. Comput. 36 (3) (2014)
Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan
On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory. SIAM J. Matrix Anal. Appl. 35 (2) (2014)
Zaiwen Wen, Wotao Yin
A feasible method for optimization with orthogonality constraints. Math. Program. 142 (1-2) (2013)
Zaiwen Wen, Andre Milzarek, Michael Ulbrich, Hongchao Zhang
Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. SIAM J. Sci. Comput. 35 (3) (2013)
Qing Ling, Zaiwen Wen, Wotao Yin
Minimization. IEEE Trans. Signal Process. 61 (5) (2013)
Lanhui Wang, Amit Singer, Zaiwen Wen
Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations. SIAM J. Imaging Sci. 6 (4) (2013)
Xin Liu, Zaiwen Wen, Yin Zhang
Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions. SIAM J. Sci. Comput. 35 (3) (2013)
Lanhui Wang, Amit Singer, Zaiwen Wen
Orientation Determination from Cryo-EM images Using Least Unsquared Deviation CoRR (2012)
Zaiwen Wen, Wotao Yin, Yin Zhang
Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. Math. Program. Comput. 4 (4) (2012)
Zaiwen Wen, Wotao Yin, Hongchao Zhang, Donald Goldfarb
minimization. Optim. Methods Softw. 27 (6) (2012)
Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen
Decentralized low-rank matrix completion. ICASSP (2012)
Wotao Yin, Zaiwen Wen, Shuyi Li, Jia (Jasmine) Meng, Zhu Han
Dynamic compressive spectrum sensing for cognitive radio networks. CISS (2011)
Jason N. Laska, Zaiwen Wen, Wotao Yin, Richard G. Baraniuk
Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements. IEEE Trans. Signal Process. 59 (11) (2011)
Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang
An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors CoRR (2011)
Zaiwen Wen, Donald Goldfarb, Wotao Yin
Alternating direction augmented Lagrangian methods for semidefinite programming. Math. Program. Comput. 2 (3-4) (2010)
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation. SIAM J. Sci. Comput. 32 (4) (2010)
Zaiwen Wen, Donald Goldfarb
A Line Search Multigrid Method for Large-Scale Nonlinear Optimization. SIAM J. Optim. 20 (3) (2009)
Donald Goldfarb, Zaiwen Wen, Wotao Yin
A Curvilinear Search Method for p-Harmonic Flows on Spheres. SIAM J. Imaging Sci. 2 (1) (2009)
Donald Goldfarb, Shiqian Ma, Zaiwen Wen
Solving low-rank matrix completion problems efficiently. Allerton (2009)
Yanfei Wang, Zaiwen Wen, M. Zuhair Nashed, Qiyu Sun
On Direct Methods for Time-Limited Signal and Image Reconstruction and Enhancement. Int. J. Wavelets Multiresolution Inf. Process. 5 (1) (2007)