| Nuclear norm based matrix regression with applications to face recognition with occlusion and illumination changes J Yang, L Luo, J Qian, Y Tai, F Zhang, Y Xu IEEE transactions on pattern analysis and machine intelligence 39 (1), 156-171, 2016 | 236 | 2016 |
| Robust nuclear norm regularized regression for face recognition with occlusion J Qian, L Luo, J Yang, F Zhang, Z Lin Pattern Recognition 48 (10), 3145-3159, 2015 | 61 | 2015 |
| Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise L Luo, J Yang, J Qian, Y Tai Pattern Recognition 48 (12), 3811-3824, 2015 | 43 | 2015 |
| Robust image regression based on the extended matrix variate power exponential distribution of dependent noise L Luo, J Yang, J Qian, Y Tai, GF Lu IEEE transactions on neural networks and learning systems 28 (9), 2168-2182, 2016 | 33 | 2016 |
| Face recognition with pose variations and misalignment via orthogonal procrustes regression Y Tai, J Yang, Y Zhang, L Luo, J Qian, Y Chen IEEE Transactions on Image Processing 25 (6), 2673-2683, 2016 | 33 | 2016 |
| Matrix variate distribution-induced sparse representation for robust image classification J Chen, J Yang, L Luo, J Qian, W Xu IEEE transactions on neural networks and learning systems 26 (10), 2291-2300, 2015 | 30 | 2015 |
| Low-rank latent pattern approximation with applications to robust image classification S Chen, J Yang, L Luo, Y Wei, K Zhang, Y Tai IEEE transactions on image processing 26 (11), 5519-5530, 2017 | 18 | 2017 |
| Bilevel distance metric learning for robust image recognition J Xu, L Luo, C Deng, H Huang Advances in Neural Information Processing Systems 31, 4198-4207, 2018 | 17 | 2018 |
| Tree-structured nuclear norm approximation with applications to robust face recognition L Luo, L Chen, J Yang, J Qian, B Zhang IEEE Transactions on Image Processing 25 (12), 5757-5767, 2016 | 16 | 2016 |
| Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification L Luo, J Yang, B Zhang, J Jiang, H Huang IEEE Transactions on Neural Networks and Learning Systems, 2018 | 15 | 2018 |
| Learning discriminative singular value decomposition representation for face recognition Y Tai, J Yang, L Luo, F Zhang, J Qian Pattern Recognition 50, 1-16, 2016 | 13 | 2016 |
| Nuclear norm regularized sparse coding L Luo, J Yang, J Qian, J Yang 2014 22nd International Conference on Pattern Recognition, 1834-1839, 2014 | 12 | 2014 |
| Double low rank matrix recovery for saliency fusion J Li, L Luo, F Zhang, J Yang, D Rajan IEEE transactions on image processing 25 (9), 4421-4432, 2016 | 11 | 2016 |
| Matrix variate gaussian mixture distribution steered robust metric learning HH Lei Luo AAAI 2017, 2017 | 10 | 2017 |
| Multi-Level Metric Learning via Smoothed Wasserstein Distance. J Xu, L Luo, C Deng, H Huang IJCAI, 2919-2925, 2018 | 8 | 2018 |
| Adaptive noise dictionary construction via IRRPCA for face recognition Y Chen, J Yang, L Luo, H Zhang, J Qian, Y Tai, J Zhang Pattern Recognition 59, 26-41, 2016 | 8 | 2016 |
| New robust metric learning model using maximum correntropy criterion J Xu, L Luo, C Deng, H Huang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 6 | 2018 |
| Bi-weighted robust matrix regression for face recognition J Xie, J Yang, J Qian, L Luo Neurocomputing 237, 375-387, 2017 | 6 | 2017 |
| Schatten p-norm based principal component analysis H Chang, L Luo, J Yang, M Yang Neurocomputing 207, 754-762, 2016 | 6 | 2016 |
| Schatten p-norm based matrix regression model for image classification L Luo, J Yang, J Chen, Y Gao Chinese Conference on Pattern Recognition, 140-150, 2014 | 5 | 2014 |
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyVerified email at njust.edu.cn
