| 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 | 211 | 2015 |
| Riemannian proximal gradient methods W Huang, K Wei Mathematical Programming 194 (1), 371-413, 2022 | 98 | 2022 |
| A Riemannian symmetric rank-one trust-region method W Huang, PA Absil, KA Gallivan Mathematical Programming 150 (2), 179-216, 2015 | 90 | 2015 |
| Optimization algorithms on Riemannian manifolds with applications W Huang The Florida State University, 2013 | 90 | 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 | 78 | 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 | 75 | 2018 |
| 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 | 65 | 2018 |
| An extension of fast iterative shrinkage-thresholding to riemannian optimization for sparse principal component analysis W Huang, K Wei arXiv preprint arXiv:1909.05485, 2019 | 49* | 2019 |
| 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 | 46 | 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, 320-343, 2016 | 42 | 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 | 40 | 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 | 40 | 2016 |
| A provably convergent scheme for compressive sensing under random generative priors W Huang, P Hand, R Heckel, V Voroninski Journal of Fourier Analysis and Applications 27, 1-34, 2021 | 38 | 2021 |
| 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 | 38 | 2016 |
| Intrinsic representation of tangent vectors and vector transports on matrix manifolds W Huang, PA Absil, KA Gallivan Numerische Mathematik 136, 523-543, 2017 | 37 | 2017 |
| 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 | 29 | 2016 |
| 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 | 25 | 2016 |
| Visualizing phylogenetic tree landscapes JC Wilgenbusch, W Huang, KA Gallivan BMC bioinformatics 18, 1-12, 2017 | 22 | 2017 |
| ManifoldOptim: an R interface to the ROPTLIB library for Riemannian manifold optimization S Martin, AM Raim, W Huang, KP Adragni Journal of Statistical Software 93, 1-32, 2020 | 20* | 2020 |
| Rate-optimal denoising with deep neural networks R Heckel, W Huang, P Hand, V Voroninski Information and Inference: A Journal of the IMA 10 (4), 1251-1285, 2021 | 19 | 2021 |
P.-A. AbsilICTEAM, EPL, UCLouvainVerified email at uclouvain.be
