| 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 | 415 | 2015 |
| Multiview subspace clustering via tensorial t-product representation M Yin, J Gao, S Xie, Y Guo IEEE transactions on neural networks and learning systems 30 (3), 851-864, 2018 | 164 | 2018 |
| Dual graph regularized latent low-rank representation for subspace clustering M Yin, J Gao, Z Lin, Q Shi, Y Guo IEEE Transactions on Image Processing 24 (12), 4918-4933, 2015 | 139 | 2015 |
| Kernel sparse subspace clustering on symmetric positive definite manifolds M Yin, Y Guo, J Gao, Z He, S Xie Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 126 | 2016 |
| Image segmentation for MR brain tumor detection using machine learning: A Review TA Soomro, L Zheng, AJ Afifi, A Ali, S Soomro, M Yin, J Gao IEEE Reviews in Biomedical Engineering 16, 70-90, 2022 | 102 | 2022 |
| Subspace clustering via learning an adaptive low-rank graph M Yin, S Xie, Z Wu, Y Zhang, J Gao IEEE Transactions on Image Processing 27 (8), 3716-3728, 2018 | 94 | 2018 |
| Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): A detailed review with direction for future research TA Soomro, L Zheng, AJ Afifi, A Ali, M Yin, J Gao Artificial Intelligence Review, 1-31, 2022 | 73 | 2022 |
| Impact of image enhancement technique on CNN model for retinal blood vessels segmentation TA Soomro, AJ Afifi, AA Shah, S Soomro, GA Baloch, L Zheng, M Yin, ... IEEE Access 7, 158183-158197, 2019 | 71 | 2019 |
| Low-rank sparse preserving projections for dimensionality reduction L Xie, M Yin, X Yin, Y Liu, G Yin IEEE Transactions on Image Processing 27 (11), 5261-5274, 2018 | 55 | 2018 |
| Shared generative latent representation learning for multi-view clustering M Yin, W Huang, J Gao Proceedings of the AAAI conference on artificial intelligence 34 (04), 6688-6695, 2020 | 51 | 2020 |
| Block diagonal representation learning for robust subspace clustering L Wang, J Huang, M Yin, R Cai, Z Hao Information Sciences 526, 54-67, 2020 | 38 | 2020 |
| Robust face recognition via double low-rank matrix recovery for feature extraction M Yin, S Cai, J Gao 2013 IEEE International Conference on Image Processing, 3770-3774, 2013 | 36 | 2013 |
| Robust multinomial logistic regression based on RPCA M Yin, D Zeng, J Gao, Z Wu, S Xie IEEE Journal of Selected Topics in Signal Processing 12 (6), 1144-1154, 2018 | 34 | 2018 |
| A rate control scheme for H. 264 video under low bandwidth channel M Yin, HY Wang Journal of Zhejiang University-SCIENCE A 7, 990-995, 2006 | 27 | 2006 |
| Multi-view low-rank matrix factorization using multiple manifold regularization S Gao, Z Yu, T Jin, M Yin Neurocomputing 335, 143-152, 2019 | 26 | 2019 |
| Blind image deblurring via coupled sparse representation M Yin, J Gao, D Tien, S Cai Journal of Visual Communication and Image Representation 25 (5), 814-821, 2014 | 24 | 2014 |
| DOA and Range Estimation Using a Uniform Linear Antenna Array Without A Priori Knowledge of the Source Number J Li, Y Wang, Z Ren, XB Gu, M Yin, Z Wu IEEE Transactions on Antennas and Propagation 69 (5), 2929-2939, 2020 | 21 | 2020 |
| Nonlinear low‐rank representation on Stiefel manifolds M Yin, J Gao, Y Guo Electronics Letters 51 (10), 749-751, 2015 | 21 | 2015 |
| Robust spectral subspace clustering based on least square regression Z Wu, M Yin, Y Zhou, X Fang, S Xie Neural processing letters 48, 1359-1372, 2018 | 18 | 2018 |
| Restricted Boltzmann machine approach to couple dictionary training for image super-resolution J Gao, Y Guo, M Yin 2013 IEEE International Conference on Image Processing, 499-503, 2013 | 17 | 2013 |
