| Weighted nuclear norm minimization and its applications to low level vision S Gu, Q Xie, D Meng, W Zuo, X Feng, L Zhang International journal of computer vision 121, 183-208, 2017 | 627 | 2017 |
| Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng NIPS 2019, 2019 | 500 | 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), 1888-1902, 2018 | 379* | 2018 |
| Convolutional sparse coding for image super-resolution S Gu, W Zuo, Q Xie, D Meng, X Feng, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1823-1831, 2015 | 367 | 2015 |
| MHF-Net: An interpretable deep network for multispectral and hyperspectral image fusion Q Xie, M Zhou, Q Zhao, Z Xu, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1457-1473, 2020 | 225* | 2020 |
| A model-driven deep neural network for single image rain removal H Wang, Q Xie, Q Zhao, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 196 | 2020 |
| 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 | 169 | 2018 |
| Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 155 | 2015 |
| Self-paced co-training F Ma, D Meng, Q Xie, Z Li, X Dong International Conference on Machine Learning, 2275-2284, 2017 | 139 | 2017 |
| 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 | 133 | 2017 |
| Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing J Peng, Q Xie, Q Zhao, Y Wang, L Yee, D Meng IEEE Transactions on Image Processing 29, 7889-7903, 2020 | 69* | 2020 |
| A novel sparsity measure for tensor recovery Q Zhao, D Meng, X Kong, Q Xie, W Cao, Y Wang, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 271-279, 2015 | 47 | 2015 |
| Robust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism Q Xie, D Zeng, Q Zhao, D Meng, Z Xu, Z Liang, J Ma IEEE transactions on medical imaging 36 (12), 2487-2498, 2017 | 44 | 2017 |
| From rain generation to rain removal H Wang, Z Yue, Q Xie, Q Zhao, Y Zheng, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Learning to purify noisy labels via meta soft label corrector Y Wu, J Shu, Q Xie, Q Zhao, D Meng Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10388 …, 2021 | 30 | 2021 |
| An efficient iterative cerebral perfusion CT reconstruction via low-rank tensor decomposition with spatial–temporal total variation regularization S Li, D Zeng, J Peng, Z Bian, H Zhang, Q Xie, Y Wang, Y Liao, S Zhang, ... IEEE transactions on medical imaging 38 (2), 360-370, 2018 | 30 | 2018 |
| Low-dose dynamic cerebral perfusion computed tomography reconstruction via Kronecker-basis-representation tensor sparsity regularization D Zeng, Q Xie, W Cao, J Lin, H Zhang, S Zhang, J Huang, Z Bian, D Meng, ... IEEE transactions on medical imaging 36 (12), 2546-2556, 2017 | 27 | 2017 |
| Structural residual learning for single image rain removal H Wang, Y Wu, Q Xie, Q Zhao, Y Liang, S Zhang, D Meng Knowledge-Based Systems 213, 106595, 2021 | 20 | 2021 |
| Single image rain streaks removal: a review and an exploration H Wang, Q Xie, Y Wu, Q Zhao, D Meng International Journal of Machine Learning and Cybernetics 11, 853-872, 2020 | 20 | 2020 |
| On the optimal solution of weighted nuclear norm minimization Q Xie, D Meng, S Gu, L Zhang, W Zuo, X Feng, Z Xu arXiv preprint arXiv:1405.6012, 2014 | 13 | 2014 |
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
