Wen Huang

According to our database, Wen Huang authored at least 35 papers between 2015 and 2025.

Collaborative distances:

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

2025

SLRQA: A Sparse Low-Rank Quaternion Model for Color Image Processing with Convergence Analysis.

Zhanwang Deng, Yuqiu Su, Wen Huang

J. Sci. Comput., October, 2025

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

Zhifeng Deng, Pierre-Antoine Absil, Kyle A. Gallivan, Wen Huang

CoRR, June, 2025

A Riemannian Optimization Approach to Clustering Problems.

Wen Huang, Meng Wei, Kyle A. Gallivan, Paul Van Dooren

J. Sci. Comput., April, 2025

A Riemannian Method on Quotient Manifolds for Solving Generalized Lyapunov Equations.

Zhenwei Huang, Wen Huang

J. Sci. Comput., March, 2025

Rank-one approximation of a higher-order tensor by a Riemannian trust-region method.

Jianheng Chen, Wen Huang

Comput. Optim. Appl., March, 2025

2024

An iterative algorithm for low-rank tensor completion problem with sparse noise and missing values.

Jianheng Chen, Wen Huang

Numer. Linear Algebra Appl., May, 2024

A Riemannian Proximal Newton Method.

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

SIAM J. Optim., March, 2024

An Operator-Splitting Optimization Approach for Phase-Field Simulation of Equilibrium Shapes of Crystals.

Zeyu Zhou, Wen Huang, Wei Jiang, Zhen Zhang

SIAM J. Sci. Comput., 2024

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

Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang

Oper. Res., 2024

Riemannian Federated Learning via Averaging Gradient Stream.

Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2024

Federated Learning on Riemannian Manifolds with Differential Privacy.

Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2024

2023

An inexact Riemannian proximal gradient method.

Wen Huang, Ke Wei

Comput. Optim. Appl., May, 2023

2022

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

Wen Huang, Ke Wei

Numer. Linear Algebra Appl., 2022

Riemannian proximal gradient methods.

Wen Huang, Ke Wei

Math. Program., 2022

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

Wen Huang, Kyle A. Gallivan

J. Sci. Comput., 2022

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

Shuyu Dong, Bin Gao, Wen Huang, Kyle A. Gallivan

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Melissa Marchand, Kyle A. Gallivan, Wen Huang, Paul Van Dooren

SIAM J. Math. Data Sci., 2021

2020

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

Xinru Yuan, Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan

Numer. Linear Algebra Appl., 2020

Community Detection by a Riemannian Projected Proximal Gradient Method.

Meng Wei, Wen Huang, Kyle A. Gallivan, Paul Van Dooren

CoRR, 2020

2018

ROPTLIB: An Object-Oriented C++ Library for Optimization on Riemannian Manifolds.

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, Paul Hand

ACM Trans. Math. Softw., 2018

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems.

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

SIAM J. Optim., 2018

2017

Solving PhaseLift by Low-Rank Riemannian Optimization Methods for Complex Semidefinite Constraints.

Wen Huang, Kyle A. Gallivan, Xiangxiong Zhang

SIAM J. Sci. Comput., 2017

Intrinsic representation of tangent vectors and vector transports on matrix manifolds.

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

Numerische Mathematik, 2017

Visualizing phylogenetic tree landscapes.

James C. Wilgenbusch, Wen Huang, Kyle A. Gallivan

BMC Bioinform., 2017

2016

Riemannian Optimization for Registration of Curves in Elastic Shape Analysis.

Wen Huang, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil

J. Math. Imaging Vis., 2016

A Riemannian rank-adaptive method for low-rank optimization.

Guifang Zhou, Wen Huang, Kyle A. Gallivan, Paul Van Dooren, Pierre-Antoine Absil

Neurocomputing, 2016

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

Xinru Yuan, Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan

Proceedings of the International Conference on Computational Science 2016, 2016

Solving PhaseLift by Low-rank Riemannian Optimization Methods.

Wen Huang, Kyle A. Gallivan, Xiangxiong Zhang

Proceedings of the International Conference on Computational Science 2016, 2016

2015

A Broyden Class of Quasi-Newton Methods for Riemannian Optimization.

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

SIAM J. Optim., 2015

A Riemannian symmetric rank-one trust-region method.

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

Math. Program., 2015

Weakly Correlated Sparse Components with Nearly Orthonormal Loadings.

Matthieu Genicot, Wen Huang, Nickolay T. Trendafilov

Proceedings of the Geometric Science of Information - Second International Conference, 2015

A Riemannian approach for computing geodesies in elastic shape analysis.

Yaqing You, Wen Huang, Kyle A. Gallivan, Pierre-Antoine Absil

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Rank-constrained optimization: a Riemannian manifold approach.

Guifang Zhou, Wen Huang, Kyle A. Gallivan, Paul Van Dooren, Pierre-Antoine Absil

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A Riemannian BFGS Method for Nonconvex Optimization Problems.

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

Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2015, 2015