| A new alternating minimization algorithm for total variation image reconstruction Y Wang, J Yang, W Yin, Y Zhang SIAM Journal on Imaging Sciences 1 (3), 248-272, 2008 | 2372 | 2008 |
| An iterative regularization method for total variation-based image restoration S Osher, M Burger, D Goldfarb, J Xu, W Yin Multiscale Modeling & Simulation 4 (2), 460-489, 2005 | 2366 | 2005 |
| Bregman iterative algorithms for \ell_1-minimization with applications to compressed sensing W Yin, S Osher, D Goldfarb, J Darbon SIAM Journal on Imaging Sciences 1 (1), 143-168, 2008 | 1777 | 2008 |
| Iteratively reweighted algorithms for compressive sensing R Chartrand, W Yin Acoustics, speech and signal processing, 2008. ICASSP 2008. IEEE …, 2008 | 1641 | 2008 |
| Extra: An exact first-order algorithm for decentralized consensus optimization W Shi, Q Ling, G Wu, W Yin SIAM Journal on Optimization 25 (2), 944-966, 2015 | 1412 | 2015 |
| Global convergence of ADMM in nonconvex nonsmooth optimization Y Wang, W Yin, J Zeng Journal of Scientific Computing 78 (1), 29-63, 2019 | 1381 | 2019 |
| A block coordinate descent method for multi-convex optimization with applications to nonnegative tensor factorization and completion Y Xu, W Yin SIAM Journal on Imaging Sciences 6 (3), 1758-1789, 2013 | 1335* | 2013 |
| Fixed-point continuation for \ell_1-minimization: Methodology and convergence ET Hale, W Yin, Y Zhang SIAM Journal on Optimization 19 (3), 1107-1130, 2008 | 1059 | 2008 |
| A feasible method for optimization with orthogonality constraints Z Wen, W Yin Mathematical Programming 142 (1), 397-434, 2010 | 1057 | 2010 |
| On the linear convergence of the ADMM in decentralized consensus optimization W Shi, Q Ling, K Yuan, G Wu, W Yin IEEE Transactions on Signal Processing 62 (7), 1750-1761, 2014 | 952 | 2014 |
| Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm Z Wen, W Yin, Y Zhang Mathematical Programming Computation 4 (4), 333-361, 2012 | 888 | 2012 |
| On the convergence of decentralized gradient descent K Yuan, Q Ling, W Yin SIAM Journal on Optimization 26 (3), 1835-1854, 2016 | 788 | 2016 |
| On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers W Deng, W Yin Journal of Scientific Computing 66 (3), 889-916, 2016 | 786 | 2016 |
| An Efficient Augmented Lagrangian Method with Applications to Total Variation Minimization C Li, W Yin, H Jiang, Y Zhang Computational Optimization and Applications 56 (3), 507-530, 2013 | 750 | 2013 |
| A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data J Yang, Y Zhang, W Yin Selected Topics in Signal Processing, IEEE Journal of, Special Issue on …, 2010 | 727 | 2010 |
| Total variation models for variable lighting face recognition T Chen, W Yin, XS Zhou, D Comaniciu, TS Huang IEEE transactions on pattern analysis and machine intelligence 28 (9), 1519-1524, 2006 | 623 | 2006 |
| A fast algorithm for edge-preserving variational multichannel image restoration J Yang, W Yin, Y Zhang, Y Wang SIAM Journal on Imaging Sciences 2 (2), 569-592, 2009 | 621 | 2009 |
| A fixed-point continuation method for l1-regularized minimization with applications to compressed sensing ET Hale, W Yin, Y Zhang CAAM TR07-07, Rice University 43 (44), 2, 2007 | 572 | 2007 |
| Parallel multi-block ADMM with O (1/k) convergence W Deng, MJ Lai, Z Peng, W Yin Journal of Scientific Computing 71 (2), 712-736, 2017 | 551 | 2017 |
| Denoising prior driven deep neural network for image restoration W Dong, P Wang, W Yin, G Shi, F Wu, X Lu IEEE transactions on pattern analysis and machine intelligence 41 (10), 2305 …, 2018 | 511 | 2018 |
S osherVerified email at math.ucla.edu