| CNN-enhanced graph convolutional network with pixel-and superpixel-level feature fusion for hyperspectral image classification Q Liu, L Xiao, J Yang, Z Wei IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8657-8671, 2020 | 229 | 2020 |
| Multilevel superpixel structured graph U-Nets for hyperspectral image classification Q Liu, L Xiao, J Yang, Z Wei IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 54 | 2021 |
| Content-guided convolutional neural network for hyperspectral image classification Q Liu, L Xiao, J Yang, JCW Chan IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6124-6137, 2020 | 46 | 2020 |
| Composite neighbor-aware convolutional metric networks for hyperspectral image classification Q Liu, L Xiao, N Huang, J Tang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 42 | 2022 |
| SSCDenseNet: A spectral-spatial convolutional dense network for hyperspectral image classification Q Liu, L Xiao, F Liu, J Huan Acta Electronica Sinica 48 (4), 751-762, 2020 | 21 | 2020 |
| SSCDenseNet: 一种空-谱卷积稠密网络的高光谱图像分类算法 刘启超， 肖亮， 刘芳， 徐金环 电子学报 48 (4), 751, 2020 | 10 | 2020 |
| Swin transformer with multiscale 3D atrous convolution for hyperspectral image classification G Farooque, Q Liu, AB Sargano, L Xiao Engineering Applications of Artificial Intelligence 126, 107070, 2023 | 7 | 2023 |
| PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection L Hu, Q Liu, J Liu, L Xiao IEEE Transactions on Geoscience and Remote Sensing, 2023 | 6 | 2023 |
| Iviu-net: Implicit variable iterative unrolling network for hyperspectral sparse unmixing Y Shao, Q Liu, L Xiao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 6 | 2023 |
| S2DMSC: A Self-supervised Deep Multi-level Subspace Clustering Approach for Large Hyperspectral Images N Huang, L Xiao, Q Liu, J Chanussot IEEE Transactions on Geoscience and Remote Sensing, 2023 | 3 | 2023 |
| Learning Transferable Discriminative Knowledge From Attribute-Aligned Hyperspectral Images Q Liu, L Xiao, N Huang, J Tang IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 1 | 2023 |
| 面向高光谱图像分类的内容引导卷积深度网络并行实现 刘启超， 肖亮， 杨劲翔 中国图象图形学报, 2021 | 1 | 2021 |
| A Directional Message Propagation Convolutional Neural Network for Hyperspectral Images Classification J Yu, Q Liu, L Xiao, Z Wei IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | | 2020 |
| PERONA-MALIK DIFFUSION DRIVEN CNN FOR SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES N Wen, Q Liu, L Xiao IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | | 2020 |
| Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image Q Liu, L Xiao, P Liu, N Huang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | | 2019 |
| Clustering Hyperspectral Images Via Sparse Dictionary Learning with Joint Sparsity and Shared Wavelets N Huang, L Xiao, S Tang, Q Liu IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | | 2019 |
| A Hybrid Convolutional Neural Network with Anisotropic Diffusion for Hyperspectral Image Classification F Lu, Q Liu, M Molaei, L Xiao Image and Graphics: 10th International Conference, ICIG 2019, Beijing, China …, 2019 | | 2019 |
