Zaiwen Wen

Orcid: 0000-0003-1762-0671

According to our database1, Zaiwen Wen authored at least 71 papers between 2007 and 2024.

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Bibliography

2024
Riemannian Natural Gradient Methods.
SIAM J. Sci. Comput., February, 2024

Predicting sequenced dental treatment plans from electronic dental records using deep learning.
Artif. Intell. Medicine, January, 2024

Formalization of Complexity Analysis of the First-order Optimization Algorithms.
CoRR, 2024

2023
A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems.
J. Sci. Comput., November, 2023

An Entropy-Regularized ADMM For Binary Quadratic Programming.
J. Glob. Optim., November, 2023

A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming.
SIAM J. Optim., September, 2023

Decoding LDPC Codes by Using Negative Proximal Regularization.
IEEE Trans. Commun., July, 2023

A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning.
SIAM J. Optim., June, 2023

An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

An exact penalty approach for optimization with nonnegative orthogonality constraints.
Math. Program., March, 2023

Monte Carlo Policy Gradient Method for Binary Optimization.
CoRR, 2023

Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation.
CoRR, 2023

Stronger Mixed-Size Placement Backbone Considering Second-Order Information.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition.
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.
IEEE Trans. Wirel. Commun., 2022

On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint.
Math. Program., 2022

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization.
Math. Program., 2022

Sketch-Based Empirical Natural Gradient Methods for Deep Learning.
J. Sci. Comput., 2022

A Multiscale Semi-Smooth Newton Method for Optimal Transport.
J. Sci. Comput., 2022

Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation.
CoRR, 2022

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP.
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.
SIAM J. Sci. Comput., 2021

Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints.
J. Commun. Inf. Networks, 2021

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning.
CoRR, 2021

A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning.
CoRR, 2021

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Ground States of Spin-F Bose-Einstein Condensates.
SIAM J. Sci. Comput., 2020

Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction.
SIAM J. Sci. Comput., 2020

Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains.
SIAM J. Matrix Anal. Appl., 2020

Symmetric rank-1 approximation of symmetric high-order tensors.
Optim. Methods Softw., 2020

Towards solving 2-TBSG efficiently.
Optim. Methods Softw., 2020

Preface.
Optim. Methods Softw., 2020

2019
Globally Convergent Levenberg-Marquardt Method for Phase Retrieval.
IEEE Trans. Inf. Theory, 2019

Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints.
SIAM J. Sci. Comput., 2019

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization.
SIAM J. Optim., 2019

Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold.
J. Sci. Comput., 2019

Ground states and their characterization of spin-F Bose-Einstein condensates.
CoRR, 2019

Toward Solving 2-TBSG Efficiently.
CoRR, 2019

2018
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection.
SIAM J. Sci. Comput., 2018

A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations.
SIAM J. Sci. Comput., 2018

Adaptive Quadratically Regularized Newton Method for Riemannian Optimization.
SIAM J. Matrix Anal. Appl., 2018

A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs.
J. Sci. Comput., 2018

2017
Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation.
SIAM J. Matrix Anal. Appl., 2017

Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format.
J. Sci. Comput., 2017

A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates.
J. Sci. Comput., 2017

2016
L<sub>p</sub>-norm Regularization Algorithms for Optimization Over Permutation Matrices.
SIAM J. Optim., 2016

Trace-Penalty Minimization for Large-Scale Eigenspace Computation.
J. Sci. Comput., 2016

2015
A Proximal Gradient Method for Ensemble Density Functional Theory.
SIAM J. Sci. Comput., 2015

On the Analysis of the Discretized Kohn-Sham Density Functional Theory.
SIAM J. Numer. Anal., 2015

An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations.
SIAM J. Optim., 2015

2014
Gradient Type Optimization Methods For Electronic Structure Calculations.
SIAM J. Sci. Comput., 2014

On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.
SIAM J. Matrix Anal. Appl., 2014

Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization.
J. Sci. Comput., 2014

2013
Decentralized Jointly Sparse Optimization by Reweighted l<sub>q</sub> Minimization.
IEEE Trans. Signal Process., 2013

Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation.
SIAM J. Sci. Comput., 2013

Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions.
SIAM J. Sci. Comput., 2013

Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations.
SIAM J. Imaging Sci., 2013

A feasible method for optimization with orthogonality constraints.
Math. Program., 2013

2012
On the convergence of an active-set method for ℓ<sub>1</sub> minimization.
Optim. Methods Softw., 2012

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm.
Math. Program. Comput., 2012

Orientation Determination from Cryo-EM images Using Least Unsquared Deviation
CoRR, 2012

Decentralized low-rank matrix completion.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements.
IEEE Trans. Signal Process., 2011

An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors
CoRR, 2011

Dynamic compressive spectrum sensing for cognitive radio networks.
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.
SIAM J. Sci. Comput., 2010

Alternating direction augmented Lagrangian methods for semidefinite programming.
Math. Program. Comput., 2010

2009
A Line Search Multigrid Method for Large-Scale Nonlinear Optimization.
SIAM J. Optim., 2009

A Curvilinear Search Method for p-Harmonic Flows on Spheres.
SIAM J. Imaging Sci., 2009

Solving low-rank matrix completion problems efficiently.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2007
On Direct Methods for Time-Limited Signal and Image Reconstruction and Enhancement.
Int. J. Wavelets Multiresolution Inf. Process., 2007


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