| Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization Y Wang, X Chen, Z Han, S He Remote Sensing 9 (12), 1286, 2017 | 85 | 2017 |
| A generalized model for robust tensor factorization with noise modeling by mixture of Gaussians Z Han, Y Wang, Q Zhao, D Meng, L Lin, Y Tang IEEE transactions on neural networks and learning systems 29 (11), 5380-5393, 2018 | 61 | 2018 |
| Robust tensor factorization with unknown noise X Chen, Z Han, Y Wang, Q Zhao, D Meng, Y Tang proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 39 | 2016 |
| Snowflake removal for videos via global and local low-rank decomposition J Tian, Z Han, W Ren, X Chen, Y Tang IEEE Transactions on Multimedia 20 (10), 2659-2669, 2018 | 23 | 2018 |
| Tensor rpca by bayesian cp factorization with complex noise Q Luo, Z Han, X Chen, Y Wang, D Meng, D Liang, Y Tang Proceedings of the IEEE International Conference on Computer Vision, 5019-5028, 2017 | 22 | 2017 |
| Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment X Chen, Z Han, Y Wang, Y Tang, H Yu Science China. Information Sciences 59 (5), 052107, 2016 | 21 | 2016 |
| Compensation atmospheric scattering model and two-branch network for single image dehazing X Wang, X Chen, W Ren, Z Han, H Fan, Y Tang, L Liu IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 17 | 2024 |
| A general model for robust tensor factorization with unknown noise X Chen, Z Han, Y Wang, Q Zhao, D Meng, L Lin, Y Tang arXiv preprint arXiv:1705.06755, 2017 | 10 | 2017 |
| Nonconvex nonlocal tucker decomposition for 3d medical image super-resolution H Jia, X Chen, Z Han, B Liu, T Wen, Y Tang Frontiers in Neuroinformatics 16, 880301, 2022 | 6 | 2022 |
| Underwater image enhancement network based on dual layers regression H Jia, Y Xiao, Q Wang, X Chen, Z Han, Y Tang Electronics 13 (1), 196, 2024 | 4 | 2024 |
| Fusing hyperspectral and multispectral images via low-rank hankel tensor representation S Guo, X Chen, H Jia, Z Han, Z Duan, Y Tang Remote Sensing 14 (18), 4470, 2022 | 4 | 2022 |
| Research on object detection methods in low-light conditions F Wang, X Chen, X Wang, W Ren, Y Tang International Conference on Intelligent Robotics and Applications, 564-574, 2023 | 3 | 2023 |
| Fully Kernected Neural Networks W Zhang, Z Han, X Chen, B Liu, H Jia, Y Tang Journal of Mathematics 2023 (1), 1539436, 2023 | 3 | 2023 |
| Low-Rank Tensor Tucker Decomposition for Hyperspectral Images Super-Resolution H Jia, S Guo, Z Li, X Chen, Z Han, Y Tang International Conference on Intelligent Robotics and Applications, 502-512, 2022 | 3 | 2022 |
| Shadow detection for remote sensing images Y Guan, X Chen, J Tian, Y Tang Proceedings of the 2022 6th International Conference on Compute and Data …, 2022 | 3 | 2022 |
| Discovering syntactic interaction clues for human-object interaction detection J Luo, W Ren, W Jiang, X Chen, Q Wang, Z Han, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Multi-Dimensional Low-Rank with Weighted Schatten p-Norm Minimization for Hyperspectral Anomaly Detection X Chen, Z Wang, K Wang, H Jia, Z Han, Y Tang Remote Sensing 16 (1), 74, 2023 | 2 | 2023 |
| Diverse Representation Embedding for Lifelong Person Re-Identification S Liu, H Fan, Q Wang, X Chen, Z Han, Y Tang arXiv preprint arXiv:2403.16003, 2024 | 1 | 2024 |
| Weakly Supervised Nucleus Segmentation Using Point Annotations via Edge Residue Assisted Network W Zhang, X Chen, S Du, H Fan, Y Tang International Conference on Intelligent Robotics and Applications, 471-479, 2022 | 1 | 2022 |
| Manifold mapping learning by regression tree boosting X Chen, Z Han, Y Tang 2015 IEEE International Conference on Cyber Technology in Automation …, 2015 | 1 | 2015 |