| 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 | 72 | 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 | 58 | 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 | 37 | 2016 |
| 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 |
| 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 | 19 | 2018 |
| 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 | 19 | 2016 |
| 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 | 9 | 2017 |
| 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 |
| 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 | 4 | 2022 |
| 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 | 2 | 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 |
| 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 | | 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 | | 2023 |
| 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 | | 2023 |
| Review helps learn better: Temporal Supervised Knowledge Distillation D Wang, Z Han, Y Wang, X Chen, B Liu, Y Tang arXiv preprint arXiv:2307.00811, 2023 | | 2023 |
| 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 | | 2022 |
| Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution X Chen, S Guo, H Jia, B Liu, Z Li, Z Han International Conference on Intelligent Robotics and Applications, 125-137, 2022 | | 2022 |
| Robust video denoising with sparse and dense noise modelings G Shen, Z Han, Y Tang Science China. Information Sciences 61 (1), 018103, 2018 | | 2018 |
| Robust tensor factorization with MRF under complex noise X Chen, Z Han, G Shen, Y Wang, Y Tang 2017 IEEE 7th Annual International Conference on CYBER Technology in …, 2017 | | 2017 |
