| Robust and efficient subspace segmentation via least squares regression CY Lu, H Min, ZQ Zhao, L Zhu, DS Huang, S Yan European Conference on Computer Vision (ECCV), 347-360, 2012 | 541 | 2012 |
| 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 | 314 | 2016 |
| Cross-modal retrieval with CNN visual features: A new baseline Y Wei, Y Zhao, C Lu, S Wei, L Liu, Z Zhu, S Yan IEEE transactions on cybernetics 47 (2), 449-460, 2016 | 269 | 2016 |
| Generalized Nonconvex Nonsmooth Low-Rank Minimization C Lu, J Tang, S Yan, Z Lin International Conference on Computer Vision and Pattern Recognition (CVPR), 2014 | 240 | 2014 |
| Face Recognition via Weighted Sparse Representation CY Lu, H Min, J Gui, L Zhu, YK Lei Journal of Visual Communication and Image Representation, 2012 | 226 | 2012 |
| Robust face recognition via adaptive sparse representation J Wang, C Lu, M Wang, P Li, S Yan, X Hu IEEE transactions on cybernetics 44 (12), 2368-2378, 2014 | 218 | 2014 |
| Tensor robust principal component analysis with a new tensor nuclear norm C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019 | 213 | 2019 |
| Nonconvex nonsmooth low rank minimization via iteratively reweighted nuclear norm C Lu, J Tang, S Yan, Z Lin IEEE Transactions on Image Processing 25 (2), 829-839, 2015 | 181 | 2015 |
| Correlation Adaptive Subspace Segmentation by Trace Lasso C Lu, J Feng, Z Lin, S Yan International Conference on Computer Vision (ICCV), 2013 | 177 | 2013 |
| Subspace clustering by block diagonal representation C Lu, J Feng, Z Lin, T Mei, S Yan IEEE transactions on pattern analysis and machine intelligence 41 (2), 487-501, 2018 | 151 | 2018 |
| Generalized singular value thresholding C Lu, C Zhu, C Xu, S Yan, Z Lin AAAI Conference on Artificial Intelligence (AAAI), 2015 | 142 | 2015 |
| Connections between nuclear-norm and frobenius-norm-based representations X Peng, C Lu, Z Yi, H Tang IEEE transactions on neural networks and learning systems 29 (1), 218-224, 2016 | 120 | 2016 |
| Tensor factorization for low-rank tensor completion P Zhou, C Lu, Z Lin, C Zhang IEEE Transactions on Image Processing 27 (3), 1152-1163, 2017 | 116 | 2017 |
| Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization C Lu, Z Lin, S Yan IEEE Transactions on Image Processing, 2015 | 110 | 2015 |
| Convex sparse spectral clustering: Single-view to multi-view C Lu, S Yan, Z Lin IEEE Transactions on Image Processing 25 (6), 2833-2843, 2016 | 108 | 2016 |
| Correntropy Induced L2 Graph for Robust Subspace Clustering C Lu, J Tang, M Lin, L Lin, S Yan, Z Lin International Conference on Computer Vision (ICCV), 2013 | 86 | 2013 |
| A unified alternating direction method of multipliers by majorization minimization C Lu, J Feng, S Yan, Z Lin IEEE transactions on pattern analysis and machine intelligence 40 (3), 527-541, 2017 | 81 | 2017 |
| Multi-loss regularized deep neural network C Xu, C Lu, X Liang, J Gao, W Zheng, T Wang, S Yan IEEE Transactions on Circuits and Systems for Video Technology 26 (12), 2273 …, 2015 | 68 | 2015 |
| Optimized Projection for Sparse Representation Based Classification CY Lu Advanced Intelligent Computing, 83-90, 2012 | 54 | 2012 |
| Exact low tubal rank tensor recovery from Gaussian measurements C Lu, J Feng, Z Lin, S Yan arXiv preprint arXiv:1806.02511, 2018 | 49 | 2018 |
Shuicheng Yan, Fellow of ACM, SAEn...Sea AI Lab, SingaporeVerified email at sea.com
