| 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 | 379 | 2016 |
| Curriculum temperature for knowledge distillation Z Li, X Li, L Yang, B Zhao, R Song, L Luo, J Li, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1504-1512, 2023 | 114 | 2023 |
| 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 | 76 | 2015 |
| Unsupervised hyperbolic metric learning J Yan, L Luo, C Deng, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| 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 | 53 | 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 | 50 | 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 | 49 | 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 | 38 | 2015 |
| Curvilinear distance metric learning S Chen, L Luo, J Yang, C Gong, J Li, H Huang Advances in Neural Information Processing Systems 32, 2019 | 35 | 2019 |
| Bilevel distance metric learning for robust image recognition J Xu, L Luo, C Deng, H Huang Advances in neural information processing systems 31, 2018 | 29 | 2018 |
| Adaptive hierarchical similarity metric learning with noisy labels J Yan, L Luo, C Deng, H Huang IEEE Transactions on Image Processing 32, 1245-1256, 2023 | 25 | 2023 |
| 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 | 24 | 2017 |
| Noise is also useful: Negative correlation-steered latent contrastive learning J Yan, L Luo, C Xu, C Deng, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Learnable low-rank latent dictionary for subspace clustering Y Xu, S Chen, J Li, L Luo, J Yang Pattern Recognition 120, 108142, 2021 | 22 | 2021 |
| An optimal transport approach to deep metric learning (student abstract) JX Dou, L Luo, RM Yang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12935 …, 2022 | 21 | 2022 |
| Multi-Level Metric Learning via Smoothed Wasserstein Distance. J Xu, L Luo, C Deng, H Huang IJCAI, 2919-2925, 2018 | 21 | 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 | 21 | 2016 |
| Sampling through the lens of sequential decision making JX Dou, AQ Pan, R Bao, HH Mao, L Luo, ZH Mao arXiv preprint arXiv:2208.08056, 2022 | 20 | 2022 |
| 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 | 20 | 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 29 (11), 5330-5344, 2018 | 19 | 2018 |
