| Scalable robust matrix recovery: Frank--Wolfe meets proximal methods C Mu, Y Zhang, J Wright, D Goldfarb SIAM Journal on Scientific Computing 38 (5), A3291-A3317, 2016 | 81 | 2016 |
| On the global geometry of sphere-constrained sparse blind deconvolution Y Zhang, Y Lau, H Kuo, S Cheung, A Pasupathy, J Wright Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 80 | 2017 |
| Structured local optima in sparse blind deconvolution Y Zhang, HW Kuo, J Wright IEEE Transactions on Information Theory 66 (1), 419-452, 2019 | 73* | 2019 |
| From symmetry to geometry: tractable nonconvex problems Y Zhang, Q Qu, J Wright arXiv preprint arXiv:2007.06753, 2020 | 59 | 2020 |
| Convolutional phase retrieval via gradient descent Q Qu, Y Zhang, YC Eldar, J Wright IEEE Transactions on Information Theory 66 (3), 1785-1821, 2019 | 56* | 2019 |
| Geometry and symmetry in short-and-sparse deconvolution HW Kuo, Y Zhang, Y Lau, J Wright SIAM Journal on Mathematics of Data Science 2 (1), 216–245, 2020 | 50 | 2020 |
| Geometric analysis of nonconvex optimization landscapes for overcomplete learning Q Qu, Y Zhai, X Li, Y Zhang, Z Zhu International Conference on Learning Representations, 2020, 2019 | 47* | 2019 |
| Short-and-sparse deconvolution --- a geometric approach Y Lau, Q Qu, HW Kuo, P Zhou, Y Zhang, J Wright arXiv preprint arXiv:1908.10959, 2019 | 34 | 2019 |
| Polynomial matrix completion for missing data imputation and transductive learning J Fan, Y Zhang, M Udell Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3842-3849, 2020 | 30 | 2020 |
| Dictionary learning in Fourier-transform scanning tunneling spectroscopy SC Cheung, JY Shin, Y Lau, Z Chen, J Sun, Y Zhang, MA Müller, ... Nature communications 11 (1), 1081, 2020 | 19* | 2020 |
| Structures of Spurious Local Minima in k-Means W Qian, Y Zhang, Y Chen IEEE Transactions on Information Theory 68 (1), 395-422, 2021 | 15 | 2021 |
| Global convergence of least squares EM for demixing two log-concave densities W Qian, Y Zhang, Y Chen Neural Information Processing Systems Conference (NeurIPS), 2019, 2019 | 14 | 2019 |
| Toward guaranteed illumination models for non-convex objects Y Zhang, C Mu, HW Kuo, J Wright Proceedings of the IEEE International Conference on Computer Vision, 937-944, 2013 | 14 | 2013 |
| Efficient point-to-subspace query in with application to robust object instance recognition J Sun, Y Zhang, J Wright SIAM Journal on Imaging Sciences, 2014 7 (4), 2105–2138, 2014 | 4* | 2014 |
| Unique sparse decomposition of low rank matrices D Jin, X Bing, Y Zhang Advances in Neural Information Processing Systems, 2021, 2021 | 3 | 2021 |
| A Geometric Approach to -means J Hong, W Qian, Y Chen, Y Zhang arXiv preprint arXiv:2201.04822, 2022 | 2 | 2022 |
| Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle L Ding, Y Zhang, Y Chen arXiv preprint arXiv:2008.13777, 2020 | 1 | 2020 |
| Low-complexity modeling for visual data: representations and algorithms Y Zhang Columbia University, 2018 | | 2018 |
John WrightElectrical Engineering, Columbia University在 columbia.edu 的电子邮件经过验证
