Wen Huang
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A Broyden class of quasi-Newton methods for Riemannian optimization
W Huang, KA Gallivan, PA Absil
SIAM Journal on Optimization 25 (3), 1660-1685, 2015
A Riemannian symmetric rank-one trust-region method
W Huang, PA Absil, KA Gallivan
Mathematical Programming 150 (2), 179-216, 2015
Optimization algorithms on Riemannian manifolds with applications
W Huang
ROPTLIB: an object-oriented C++ library for optimization on Riemannian manifolds
W Huang, PA Absil, KA Gallivan, P Hand
ACM Transactions on Mathematical Software (TOMS) 44 (4), 1-21, 2018
Line search algorithms for locally Lipschitz functions on Riemannian manifolds
S Hosseini, W Huang, R Yousefpour
SIAM Journal on Optimization 28 (1), 596-619, 2018
Blind deconvolution by a steepest descent algorithm on a quotient manifold
W Huang, P Hand
SIAM Journal on Imaging Sciences 11 (4), 2757-2785, 2018
Riemannian optimization for registration of curves in elastic shape analysis
W Huang, KA Gallivan, A Srivastava, PA Absil
Journal of Mathematical Imaging and Vision 54 (3), 320-343, 2016
A Riemannian limited-memory BFGS algorithm for computing the matrix geometric mean
X Yuan, W Huang, PA Absil, KA Gallivan
Procedia Computer Science 80, 2147-2157, 2016
A Riemannian BFGS method without differentiated retraction for nonconvex optimization problems
W Huang, PA Absil, KA Gallivan
SIAM Journal on Optimization 28 (1), 470-495, 2018
Solving PhaseLift by low-rank Riemannian optimization methods for complex semidefinite constraints
W Huang, KA Gallivan, X Zhang
SIAM Journal on Scientific Computing 39 (5), B840-B859, 2017
A Riemannian BFGS method for nonconvex optimization problems
W Huang, PA Absil, KA Gallivan
Numerical Mathematics and Advanced Applications ENUMATH 2015, 627-634, 2016
Intrinsic representation of tangent vectors and vector transports on matrix manifolds
W Huang, PA Absil, KA Gallivan
Numerische Mathematik 136 (2), 523-543, 2017
A provably convergent scheme for compressive sensing under random generative priors
W Huang, P Hand, R Heckel, V Voroninski
arXiv preprint arXiv:1812.04176, 2018
Visualizing phylogenetic tree landscapes
JC Wilgenbusch, W Huang, KA Gallivan
BMC bioinformatics 18 (1), 1-12, 2017
Deep denoising: Rate-optimal recovery of structured signals with a deep prior
R Heckel, W Huang, P Hand, V Voroninski
Riemannian proximal gradient methods
W Huang, K Wei
Mathematical Programming, 1-43, 2021
TreeScaper: visualizing and extracting phylogenetic signal from sets of trees
W Huang, G Zhou, M Marchand, JR Ash, D Morris, P Van Dooren, ...
Molecular Biology and Evolution 33 (12), 3314-3316, 2016
Rank-constrained optimization: A Riemannian manifold approach
G Zhou
The Florida State University, 2015
A Riemannian rank-adaptive method for low-rank optimization
G Zhou, W Huang, KA Gallivan, P Van Dooren, PA Absil
Neurocomputing 192, 72-80, 2016
Riemannian optimization for elastic shape analysis
W Huang, KA Gallivan, A Srivastava, PA Absil
Mathematical theory of Networks and Systems, 2014
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