| 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 | 105 | 2015 |
| A Riemannian symmetric rank-one trust-region method W Huang, PA Absil, KA Gallivan Mathematical Programming 150 (2), 179-216, 2015 | 49 | 2015 |
| Optimization algorithms on Riemannian manifolds with applications W Huang | 45 | 2013 |
| 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 | 33 | 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 | 28 | 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 | 27 | 2018 |
| 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 | 24 | 2016 |
| 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 | 23 | 2016 |
| 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 | 21 | 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 | 20 | 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 | 18 | 2018 |
| Intrinsic representation of tangent vectors and vector transports on matrix manifolds W Huang, PA Absil, KA Gallivan Numerische Mathematik 136 (2), 523-543, 2017 | 18 | 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 | 16 | 2018 |
| Visualizing phylogenetic tree landscapes JC Wilgenbusch, W Huang, KA Gallivan BMC bioinformatics 18 (1), 1-12, 2017 | 16 | 2017 |
| Deep denoising: Rate-optimal recovery of structured signals with a deep prior R Heckel, W Huang, P Hand, V Voroninski | 14 | 2018 |
| 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 | 13 | 2016 |
| Rank-constrained optimization: A Riemannian manifold approach G Zhou, W Huang, KA Gallivan, P Van Dooren, PA Absil In Proceeding of 23th European Symposium on Artificial Neural Networks …, 2015 | 13 | 2015 |
| Riemannian optimization for elastic shape analysis W Huang, KA Gallivan, A Srivastava, PA Absil Mathematical theory of Networks and Systems, 2014 | 11 | 2014 |
| 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 | 10 | 2016 |
| Riemannian proximal gradient methods W Huang, K Wei arXiv preprint arXiv:1909.06065, 2019 | 9 | 2019 |
P.-A. AbsilICTEAM, EPL, UCLouvainDirección de correo verificada de uclouvain.be
