| Unsupervised sparse dirichlet-net for hyperspectral image super-resolution Y Qu, H Qi, C Kwan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 204 | 2018 |
| Hyperspectral anomaly detection through spectral unmixing and dictionary-based low-rank decomposition Y Qu, W Wang, R Guo, B Ayhan, C Kwan, S Vance, H Qi IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4391-4405, 2018 | 162 | 2018 |
| uDAS: An untied denoising autoencoder with sparsity for spectral unmixing Y Qu, H Qi IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1698-1712, 2018 | 158 | 2018 |
| Prior-based tensor approximation for anomaly detection in hyperspectral imagery L Li, W Li, Y Qu, C Zhao, R Tao, Q Du IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1037-1050, 2020 | 92 | 2020 |
| Topological structure and semantic information transfer network for cross-scene hyperspectral image classification Y Zhang, W Li, M Zhang, Y Qu, R Tao, H Qi IEEE Transactions on Neural Networks and Learning Systems, 2021 | 91 | 2021 |
| DOES multispectral/hyperspectral pansharpening improve the performance of anomaly detection? Y Qu, H Qi, B Ayhan, C Kwan, R Kidd 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 77 | 2017 |
| Unsupervised pansharpening based on self-attention mechanism Y Qu, RK Baghbaderani, H Qi, C Kwan IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3192-3208, 2020 | 58 | 2020 |
| Anomaly detection in hyperspectral images through spectral unmixing and low rank decomposition Y Qu, R Guo, W Wang, H Qi, B Ayhan, C Kwan, S Vance 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 56 | 2016 |
| Target detection through tree-structured encoding for hyperspectral images X Sun, Y Qu, L Gao, X Sun, H Qi, B Zhang, T Shen IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4233-4249, 2020 | 45 | 2020 |
| Unsupervised and unregistered hyperspectral image super-resolution with mutual Dirichlet-Net Y Qu, H Qi, C Kwan, N Yokoya, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2021 | 44 | 2021 |
| Hyperspectral image classification based on a shuffled group convolutional neural network with transfer learning Y Liu, L Gao, C Xiao, Y Qu, K Zheng, A Marinoni Remote Sensing 12 (11), 1780, 2020 | 42 | 2020 |
| Siamese transformer network for hyperspectral image target detection W Rao, L Gao, Y Qu, X Sun, B Zhang, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 37 | 2022 |
| Transferable network with Siamese architecture for anomaly detection in hyperspectral images W Rao, Y Qu, L Gao, X Sun, Y Wu, B Zhang International Journal of Applied Earth Observation and Geoinformation 106 …, 2022 | 34 | 2022 |
| Ensemble-based information retrieval with mass estimation for hyperspectral target detection X Sun, Y Qu, L Gao, X Sun, H Qi, B Zhang, T Shen IEEE Transactions on Geoscience and Remote Sensing 60, 1-23, 2021 | 31 | 2021 |
| Physically constrained transfer learning through shared abundance space for hyperspectral image classification Y Qu, RK Baghbaderani, W Li, L Gao, Y Zhang, H Qi IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10455-10472, 2021 | 26 | 2021 |
| Spectral unmixing through part-based non-negative constraint denoising autoencoder Y Qu, R Guo, H Qi 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 20 | 2017 |
| Representative-discriminative learning for open-set land cover classification of satellite imagery R Kaviani Baghbaderani, Y Qu, H Qi, C Stutts Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 17 | 2020 |
| Land cover classification for satellite images through 1D CNN Y Song, Z Zhang, RK Baghbaderani, F Wang, Y Qu, C Stuttsy, H Qi 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 17 | 2019 |
| Few-shot hyperspectral image classification through multitask transfer learning Y Qu, RK Baghbaderani, H Qi 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 15 | 2019 |
| A fast unsupervised approach for multi-modality surgical trajectory segmentation H Zhao, J Xie, Z Shao, Y Qu, Y Guan, J Tan IEEE Access 6, 56411-56422, 2018 | 11 | 2018 |
Hairong QiGonzalez Family Professor of Electrical Engineering and Computer Science Department, University ofVerified email at utk.edu
