| The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices Z Lin, M Chen, Y Ma arXiv preprint arXiv:1009.5055, 2010 | 2321 | 2010 |
| Robust recovery of subspace structures by low-rank representation G Liu, Z Lin, S Yan, J Sun, Y Yu, Y Ma IEEE transactions on pattern analysis and machine intelligence 35 (1), 171-184, 2012 | 1785 | 2012 |
| Robust subspace segmentation by low-rank representation. G Liu, Z Lin, Y Yu ICML 1, 8, 2010 | 1214 | 2010 |
| Linearized alternating direction method with adaptive penalty for low-rank representation Z Lin, R Liu, Z Su Advances in neural information processing systems, 612-620, 2011 | 779 | 2011 |
| Fundamental limits of reconstruction-based superresolution algorithms under local translation Z Lin, HY Shum IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (1), 83-97, 2004 | 508 | 2004 |
| Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix M Chen, A Ganesh, Z Lin, Y Ma, J Wright, L Wu Coordinated Science Laboratory Report no. UILU-ENG-09-2214, 2009 | 470 | 2009 |
| Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis Z Lin, J He, X Tang, CK Tang Pattern Recognition 42 (11), 2492-2501, 2009 | 292 | 2009 |
| Non-negative low rank and sparse graph for semi-supervised learning L Zhuang, H Gao, Z Lin, Y Ma, X Zhang, N Yu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2328-2335, 2012 | 258 | 2012 |
| Form factor and input method for language input Z Lin, R Wang, J Wang US Patent 7,508,373, 2009 | 225 | 2009 |
| Detecting doctored JPEG images via DCT coefficient analysis J He, Z Lin, L Wang, X Tang European conference on computer vision, 423-435, 2006 | 195 | 2006 |
| Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 173 | 2016 |
| Laplacian regularized low-rank representation and its applications M Yin, J Gao, Z Lin IEEE transactions on pattern analysis and machine intelligence 38 (3), 504-517, 2015 | 169 | 2015 |
| Generalized nonconvex nonsmooth low-rank minimization C Lu, J Tang, S Yan, Z Lin Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 168 | 2014 |
| Detecting doctored images using camera response normality and consistency Z Lin, R Wang, X Tang, HY Shum 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 149 | 2005 |
| Accelerated proximal gradient methods for nonconvex programming H Li, Z Lin Advances in neural information processing systems, 379-387, 2015 | 148 | 2015 |
| Correlation adaptive subspace segmentation by trace lasso C Lu, J Feng, Z Lin, S Yan Proceedings of the IEEE International Conference on Computer Vision, 1345-1352, 2013 | 146 | 2013 |
| Smooth representation clustering H Hu, Z Lin, J Feng, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 141 | 2014 |
| Robust estimation of 3d human poses from a single image C Wang, Y Wang, Z Lin, AL Yuille, W Gao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 136 | 2014 |
| Fast algorithms for recovering a corrupted low-rank matrix A Ganesh, Z Lin, J Wright, L Wu, M Chen, Y Ma Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 …, 2009 | 133 | 2009 |
| Fast algorithms for recovering a corrupted low-rank matrix A Ganesh, Z Lin, J Wright, L Wu, M Chen, Y Ma Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 …, 2009 | 133 | 2009 |
