| Self-Paced Curriculum Learning L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann AAAI 2 (5.4), 6, 2015 | 294 | 2015 |
| Robust Principal Component Analysis with Complex Noise Q Zhao, D Meng, Z Xu, W Zuo, L Zhang Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 2014 | 177 | 2014 |
| Improve robustness of sparse PCA by< i> L</i>< sub> 1</sub>-norm maximization D Meng, Q Zhao, Z Xu Pattern Recognition 45 (1), 487-497, 2012 | 135 | 2012 |
| Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization Q Xie, Q Zhao, D Meng, Z Xu, S Gu, W Zuo, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 134 | 2016 |
| A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017 | 118* | 2017 |
| Self-Paced Learning for Matrix Factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann AAAI, 3196-3202, 2015 | 118 | 2015 |
| Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions X Cao, Q Zhao, D Meng, Y Chen, Z Xu IEEE Transactions on Image Processing 25 (10), 4677-4690, 2016 | 104* | 2016 |
| Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng Advances in Neural Information Processing Systems, 1919-1930, 2019 | 102 | 2019 |
| Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery Q Xie, Q Zhao, D Meng, Z Xu IEEE transactions on pattern analysis and machine intelligence 40 (8), 2018 | 102 | 2018 |
| Hyperspectral image restoration via total variation regularized low-rank tensor decomposition Y Wang, J Peng, Q Zhao, Y Leung, XL Zhao, D Meng IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 | 98 | 2017 |
| A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han Proceedings of the IEEE International Conference on Computer Vision, 594-602, 2015 | 95 | 2015 |
| Infrared small-dim target detection based on Markov random field guided noise modeling C Gao, L Wang, Y Xiao, Q Zhao, D Meng Pattern Recognition 76, 463-475, 2018 | 74 | 2018 |
| Video Rain Streak Removal By Multiscale Convolutional Sparse Coding M Li, Q Xie, Q Zhao, W Wei, S Gu, J Tao, D Meng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 73 | 2018 |
| Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification X Cao, L Xu, D Meng, Q Zhao, Z Xu Neurocomputing 226, 90-100, 2017 | 72 | 2017 |
| L₁-Norm Low-Rank Matrix Factorization by Variational Bayesian Method Q Zhao, D Meng, Z Xu, W Zuo, Y Yan Neural Networks and Learning Systems, IEEE Transactions on 26 (4), 825-839, 2015 | 72* | 2015 |
| Should we encode rain streaks in video as deterministic or stochastic? W Wei, L Yi, Q Xie, Q Zhao, D Meng, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 2516-2525, 2017 | 70 | 2017 |
| Denoising hyperspectral image with non-iid noise structure Y Chen, X Cao, Q Zhao, D Meng, Z Xu IEEE transactions on cybernetics 48 (3), 1054-1066, 2018 | 65 | 2018 |
| Semi-supervised transfer learning for image rain removal W Wei, D Meng, Q Zhao, Z Xu, Y Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| Low-rank matrix factorization under general mixture noise distributions X Cao, Y Chen, Q Zhao, D Meng, Y Wang, D Wang, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 1493-1501, 2015 | 54 | 2015 |
| Multispectral and hyperspectral image fusion by MS/HS fusion net Q Xie, M Zhou, Q Zhao, D Meng, W Zuo, Z Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
