黄文｜厦门大学｜学者主页

2023

黎曼流形上的无约束优化及其应用

黄文，陈建恒，郭媛媛，黄振威，司武涛

《厦门大学学报(自然科学版)》

2023

A Riemannian Proximal Newton Method

Wutao Si, Pierre-Antoine Absil, Wen Huang, Rujun Jiang, Simon Vary

SIAM Journal on Optimization

DOI

2023

Riemannian Trust Region Methods for SC1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {SC}^1$$\end{document} Mi

Chenyu Zhang, Rufeng Xiao, Wen Huang, Rujun Jiang

Journal of Scientific Computing

DOI

2022

Riemannian proximal gradient methods

Wen Huang, Ke Wei

Mathematical Programming

DOI

2022

A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy

Wen Huang, K. Gallivan

Journal of Scientific Computing

DOI

2022

A Riemannian Optimization Approach to Clustering Problems

Wen Huang, Meng Wei, K. Gallivan, P. Van Dooren

Journal of Scientific Computing

DOI

2022

Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version

Shixin Zheng, Wen Huang, Bart Vandereycken, Xiang-Xiong Zhang

arXiv.org

DOI

2022

Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation

Jiali Wang, Wen Huang, Rujun Jiang, Xudong Li, Alex L. Wang

International Conference on Machine Learning

2022

Tensor Completion via Tensor Train Based Low‐Rank Quotient Geometry Under a Preconditioned Metric

Jiong Cai, Wen Huang, Haifeng Wang, Ke Wei

Numerical Linear Algebra with Applications

DOI

2022

On the analysis of optimization with fixed-rank matrices: a quotient geometric view

Shuyu Dong, Bin Gao, Wen Huang, K. Gallivan

arXiv.org

DOI

2021

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds

Shuailing Feng, Wen Huang, Le-Le Song, Shi-Hui Ying, T. Zeng

Optimization Letters

DOI

2021

Heuristics for optimization with nonnegativity constraints using ideas from Riemannian optimization

Wen Huang

IFAC-PapersOnLine

DOI

2021

A limited-memory Riemannian symmetric rank-one trust-region method with an efficient algorithm for its subproblem

Wen Huang, K. Gallivan

IFAC-PapersOnLine

DOI

2021

An inexact Riemannian proximal gradient method

Wen Huang, Ke Wei

Computational optimization and applications

DOI

2021

Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes

C. Samir, Wen Huang

Applied Mathematics and Computation

DOI

2020

Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem

M. Marchand, K. Gallivan, Wen Huang, P. Van Dooren

SIAM Journal on Mathematics of Data Science

DOI

2020

Community Detection by a Riemannian Projected Proximal Gradient Method

Meng Wei, Wen Huang, K. Gallivan, P. Van Dooren

IFAC-PapersOnLine

DOI

2020

Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method

Xin-Ru Yuan, Wen Huang, Pierre-Antoine Absil, K. Gallivan

Numerical Linear Algebra with Applications

DOI

2020

Averaging Symmetric Positive-Definite Matrices

Xin-Ru Yuan, Wen Huang, Pierre-Antoine Absil, K. Gallivan

Handbook of Variational Methods for Nonlinear Geometric Data

DOI

2019

An extension of fast iterative shrinkage‐thresholding algorithm to Riemannian optimization for sparse principal component analysis

Wen Huang, Ke Wei

Numerical Linear Algebra with Applications

DOI

2019

Extending FISTA to Riemannian Optimization for Sparse PCA.

Wen Huang, Ke Wei

2018

ROPTLIB

Wen Huang, Pierre-Antoine Absil, K. Gallivan, Paul Hand

ACM Transactions on Mathematical Software

DOI

2018

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems

Wen Huang, Pierre-Antoine Absil, K. Gallivan

SIAM Journal on Optimization

DOI

2018

Line Search Algorithms for Locally Lipschitz Functions on Riemannian Manifolds

S. Hosseini, Wen Huang, R. Yousefpour

SIAM Journal on Optimization

DOI

2018

Rate-optimal denoising with deep neural networks

Reinhard Heckel, Wen Huang, Paul Hand, Vladislav Voroninski

Information and Inference A Journal of the IMA

DOI

2018

Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior

Reinhard Heckel, Wen Huang, Paul Hand, Vladislav Voroninski

arXiv.org

2018

A Provably Convergent Scheme for Compressive Sensing Under Random Generative Priors

Wen Huang, Paul Hand, Reinhard Heckel, Vladislav Voroninski

Journal of Fourier Analysis and Applications

DOI

2017

Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold

Wen Huang, Paul Hand

SIAM Journal of Imaging Sciences

DOI

2017

A Riemannian quasi-Newton method for computing the Karcher mean of symmetric positive definite matrices

Xin-Ru Yuan, Wen Huang, Pierre-Antoine Absil, K. A. Gallivan

2017

Solving PhaseLift by Low-rank Riemannian Optimization Methods

Wen Huang, K. Gallivan, Xiang-Xiong Zhang

International Conference on Conceptual Structures

DOI

2017

Visualizing phylogenetic tree landscapes

J. Wilgenbusch, Wen Huang, K. Gallivan

BMC Bioinformatics

DOI

2017

Intrinsic representation of tangent vectors and vector transports on matrix manifolds

Wen Huang, Pierre-Antoine Absil, K. Gallivan

Numerische Mathematik

DOI

2016

ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization

Sean Martin, Andrew M. Raim, Wen Huang, K. Adragni

Journal of Statistical Software

DOI

2016

A Riemannian Limited-memory BFGS Algorithm for Computing the Matrix Geometric Mean

Xin-Ru Yuan, Wen Huang, Pierre-Antoine Absil, K. Gallivan

International Conference on Conceptual Structures

DOI

2016

A Riemannian Optimization Approach for Role Model Extraction

M. Marchand, Wen Huang, Arnaud Browet, P. Van Dooren, K. Gallivan

2016

TreeScaper: Visualizing and Extracting Phylogenetic Signal from Sets of Trees.

Wen Huang, Gui-Fang Zhou, M. Marchand, Jeremy R. Ash, David Morris, P. Van Dooren, J. M. Brown, K. Gallivan, J. Wilgenbusch

Molecular biology and evolution

DOI

2016

A Riemannian rank-adaptive method for low-rank optimization

Gui-Fang Zhou, Wen Huang, K. Gallivan, P. Van Dooren, Pierre-Antoine Absil

Neurocomputing

DOI

2016

Multi-input multi-output waveform optimization for synthetic aperture sonar

M. Marchand, Wen Huang, K. Gallivan, Bradley C Marchand

SPIE Defense + Security

DOI

2015

A Riemannian symmetric rank-one trust-region method

Wen Huang, P. -A. Absil, K. A. Gallivan

Mathematical Programming

DOI

2015

A Broyden Class of Quasi-Newton Methods for Riemannian Optimization

Wen Huang, K. Gallivan, Pierre-Antoine Absil

SIAM Journal on Optimization

DOI

2015

Riemannian Optimization for Registration of Curves in Elastic Shape Analysis

Wen Huang, K. Gallivan, Anuj Srivastava, Pierre-Antoine Absil

Journal of Mathematical Imaging and Vision

DOI

2015

Karcher mean in elastic shape analysis

Wen Huang, Yaqing You, K. Gallivan, Pierre-Antoine Absil

British Machine Vision Conference

DOI

2015

A Riemannian BFGS Method for Nonconvex Optimization Problems

Wen Huang, Pierre-Antoine Absil, K. Gallivan

European Conference on Numerical Mathematics and Advanced Applications

DOI

2015

A Riemannian approach for computing geodesies in elastic shape analysis

Yaqing You, Wen Huang, K. Gallivan, Pierre-Antoine Absil

IEEE Global Conference on Signal and Information Processing

DOI

2015

Rank-constrained optimization: a Riemannian manifold approach

Gui-Fang Zhou, Wen Huang, K. Gallivan, P. Van Dooren, Pierre-Antoine Absil

The European Symposium on Artificial Neural Networks

2013

Optimization algorithms on Riemannian manifolds with applications

Wen Huang

2010

The Shape and Dimensionality of Phylogenetic Tree-Space Based on Mitochondrial Genomes

J. Wilgenbusch, Wen Huang, K. Gallivan

DOI

精选作品

期刊论文

黎曼流形上的无约束优化及其应用

A Riemannian Proximal Newton Method

Riemannian proximal gradient methods

A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy

A Riemannian Optimization Approach to Clustering Problems

Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version

Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation

Tensor Completion via Tensor Train Based Low‐Rank Quotient Geometry Under a Preconditioned Metric

On the analysis of optimization with fixed-rank matrices: a quotient geometric view

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds

Heuristics for optimization with nonnegativity constraints using ideas from Riemannian optimization

A limited-memory Riemannian symmetric rank-one trust-region method with an efficient algorithm for its subproblem

An inexact Riemannian proximal gradient method

Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes

Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem

Community Detection by a Riemannian Projected Proximal Gradient Method

Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method

Averaging Symmetric Positive-Definite Matrices

An extension of fast iterative shrinkage‐thresholding algorithm to Riemannian optimization for sparse principal component analysis

Extending FISTA to Riemannian Optimization for Sparse PCA.

ROPTLIB

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems

Line Search Algorithms for Locally Lipschitz Functions on Riemannian Manifolds

Rate-optimal denoising with deep neural networks

Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior

A Provably Convergent Scheme for Compressive Sensing Under Random Generative Priors

Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold

A Riemannian quasi-Newton method for computing the Karcher mean of symmetric positive definite matrices

Solving PhaseLift by Low-rank Riemannian Optimization Methods

Visualizing phylogenetic tree landscapes

Intrinsic representation of tangent vectors and vector transports on matrix manifolds

ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization

A Riemannian Limited-memory BFGS Algorithm for Computing the Matrix Geometric Mean

A Riemannian Optimization Approach for Role Model Extraction

TreeScaper: Visualizing and Extracting Phylogenetic Signal from Sets of Trees.

A Riemannian rank-adaptive method for low-rank optimization

Multi-input multi-output waveform optimization for synthetic aperture sonar

A Riemannian symmetric rank-one trust-region method

A Broyden Class of Quasi-Newton Methods for Riemannian Optimization

Riemannian Optimization for Registration of Curves in Elastic Shape Analysis

Karcher mean in elastic shape analysis

A Riemannian BFGS Method for Nonconvex Optimization Problems

A Riemannian approach for computing geodesies in elastic shape analysis

Rank-constrained optimization: a Riemannian manifold approach

Optimization algorithms on Riemannian manifolds with applications

The Shape and Dimensionality of Phylogenetic Tree-Space Based on Mitochondrial Genomes

预印本

Retractions by Alternating Projections

A globally and superlinearly convergent QO-free method for nonlinear optimization on Riemannian manifolds

Globally Convergent Block Coordinate Descent Algorithms for Semi-Nonnegative Independent Component Analysis

From Manifold Identification to Newton Acceleration on Intersections: Sparse Stiefel Optimization

Diffeomorphic Logarithm of Special Orthogonal Matrices

An Inexact Riemannian Gradient Descent Algorithm on the Stiefel Manifold with One Newton-Schulz Iteration

The Exponential of Skew-Symmetric Matrices: A Nearby Inverse and Efficient Computation of Derivatives

Quotient Manifold Optimization for Spectral Compressed Sensing

A Riemannian Accelerated Proximal Gradient Method

A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds

An increasing rank Riemannian method for generalized Lyapunov equations

研究方向