Wen Huang

发表

Riemannian proximal gradient methods

Ke Wei, Wen Huang, Wen Huang, 2019, Mathematical Programming.

Extending FISTA to Riemannian Optimization for Sparse PCA.

Ke Wei, Wen Huang, Wen Huang, 2019 .

Optimization algorithms on Riemannian manifolds with applications

Wen Huang, Wen Huang, W. Huang, 2013 .

A Broyden Class of Quasi-Newton Methods for Riemannian Optimization

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, SIAM J. Optim..

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

Chafik Samir, Wen Huang, C. Samir, 2021, Appl. Math. Comput..

A Provably Convergent Scheme for Compressive Sensing Under Random Generative Priors

Reinhard Heckel, Wen Huang, Vladislav Voroninski, 2018, Journal of Fourier Analysis and Applications.

Tensor Completion via Tensor Train Based Low-Rank Quotient Geometry under a Preconditioned Metric

Ke Wei, Wen Huang, Jiong Cai, 2022, 2209.04786.

Solving PhaseLift by Low-rank Riemannian Optimization Methods

Wen Huang, Xiangxiong Zhang, Kyle A. Gallivan, 2017, ICCS.

Visualizing phylogenetic tree landscapes

Wen Huang, Kyle A. Gallivan, James C. Wilgenbusch, 2017, BMC Bioinformatics.

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

Jeremy M. Brown, Jeremy R. Ash, Guifang Zhou, 2016, Molecular biology and evolution.

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds

Wen Huang, T. Zeng, Shihui Ying, 2021, Optimization Letters.

Averaging Symmetric Positive-Definite Matrices

Pierre-Antoine Absil, Xinru Yuan, Kyle A. Gallivan, 2020 .

A Riemannian symmetric rank-one trust-region method

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2014, Mathematical Programming.

ROPTLIB

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2018, ACM Trans. Math. Softw..

A Riemannian Optimization Approach to Clustering Problems

P. Dooren, K. Gallivan, Wen Huang, 2022, 2208.03858.

A Riemannian Proximal Newton Method

P. Absil, Rujun Jiang, Simon Vary, 2023, 2304.04032.

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

K. Gallivan, Wen Huang, Wen Huang, 2022, Journal of Scientific Computing.

An inexact Riemannian proximal gradient method

Ke Wei, Wen Huang, Ke Wei, 2021, Computational Optimization and Applications.

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

Wen Huang, Ke Wei, Wen Huang, 2021, Numer. Linear Algebra Appl..

Community Detection by a Riemannian Projected Proximal Gradient Method pdf

Paul Van Dooren, Wen Huang, Kyle A. Gallivan, 2020, IFAC-PapersOnLine.

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2018, SIAM J. Optim..

Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold

Wen Huang, Paul Hand, Paul Hand, 2017, SIAM J. Imaging Sci..

Intrinsic representation of tangent vectors and vector transports on matrix manifolds

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2017, Numerische Mathematik.

Riemannian Optimization for Elastic Shape Analysis

P. Absil, Anuj Srivastava, K. Gallivan, 2014 .

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

Kyle A. Gallivan, Wen Huang, K. Gallivan, 2021, IFAC-PapersOnLine.

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

Wen Huang, Sean Martin, Kofi P. Adragni, 2016, Journal of Statistical Software.

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

K. Gallivan, Shuyu Dong, Bin Gao, 2022, ArXiv.

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

Xiangxiong Zhang, Bart Vandereycken, Shixin Zheng, 2022, ArXiv.

Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence

Anru R. Zhang, Wen Huang, Yuetian Luo, 2020, Operations Research.

An increasing rank Riemannian method for generalized Lyapunov equations

Zhenwei Huang, Wen Huang, 2023, 2308.00213.

A Riemannian rank-adaptive method for low-rank optimization

Paul Van Dooren, Wen Huang, Pierre-Antoine Absil, 2016, Neurocomputing.

A Riemannian symmetric rank-one trust-region method

P. Absil, K. Gallivan, Wen Huang, 2014, Mathematical programming.

A Riemannian Optimization Approach to Clustering Problems

P. Dooren, K. Gallivan, Meng Wei, 2022, 2208.03858.

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

Pierre-Antoine Absil, Wen Huang, Xinru Yuan, 2020, Numer. Linear Algebra Appl..

ROPTLIB

Paul Hand, P. Absil, K. Gallivan, 2018, ACM Transactions on Mathematical Software.

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

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2016, ICCS.

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

Wen Huang, Bradley C Marchand, Kyle A. Gallivan, 2016, SPIE Defense + Security.

Riemannian Optimization for Registration of Curves in Elastic Shape Analysis

Wen Huang, Anuj Srivastava, Pierre-Antoine Absil, 2015, Journal of Mathematical Imaging and Vision.

O C ] 1 3 Se p 20 19 Riemannian Proximal Gradient Methods

Ke Wei, Wen Huang, Wen Huang, 2019 .

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

P.-A. Absil, P. Absil, Wen Huang, 2017 .

A Riemannian Optimization Approach for Role Model Extraction

Arnaud Browet, Paul Van Dooren, Wen Huang, 2016 .

A Riemannian BFGS Method for Nonconvex Optimization Problems

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, ENUMATH.

Rank-constrained optimization: a Riemannian manifold approach

Paul Van Dooren, Wen Huang, Pierre-Antoine Absil, 2015, ESANN.

Rank-Constrainted Optimization: A Riemannian Ma nifold Approachy

P. Dooren, K. Gallivan, Wen Huang, 2015 .

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

Paul Van Dooren, Wen Huang, Kyle A. Gallivan, 2020, SIAM J. Math. Data Sci..

Riemannian Proximal Gradient Methods (extended version)

Ke Wei, Wen Huang, Wen Huang, 2019, 1909.06065.

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

Ke Wei, Wen Huang, Ke Wei, 2019, Numer. Linear Algebra Appl..

A Riemannian approach for computing geodesies in elastic shape analysis

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Karcher mean in elastic shape analysis

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, BMVC 2015.