Semi-supervised locality preserving dense graph neural network with ARMA filters and context-aware learning for hyperspectral image classification Y Ding, X Zhao, Z Zhang, W Cai, N Yang, Y Zhan IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 138 | 2021 |
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification Y Ding, Z Zhang, X Zhao, D Hong, W Cai, C Yu, N Yang, W Cai Neurocomputing 501, 246-257, 2022 | 127 | 2022 |
Graph sample and aggregate-attention network for hyperspectral image classification Y Ding, X Zhao, Z Zhang, W Cai, N Yang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 91 | 2021 |
Multiscale graph sample and aggregate network with context-aware learning for hyperspectral image classification Y Ding, X Zhao, Z Zhang, W Cai, N Yang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 86 | 2021 |
AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification Y Ding, Z Zhang, X Zhao, D Hong, W Li, W Cai, Y Zhan Information Sciences 602, 201-219, 2022 | 80 | 2022 |
Design of a mobile social community platform for older Chinese people in urban areas Q Gao, D Ebert, X Chen, Y Ding Human Factors and Ergonomics in Manufacturing & Service Industries 25 (1), 66-89, 2015 | 71 | 2015 |
Self-supervised locality preserving low-pass graph convolutional embedding for large-scale hyperspectral image clustering Y Ding, Z Zhang, X Zhao, Y Cai, S Li, B Deng, W Cai IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 70 | 2022 |
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification Z Zhang, Y Ding, X Zhao, L Siye, N Yang, Y Cai, Y Zhan Expert Systems with Applications 217, 119508, 2023 | 57 | 2023 |
Unsupervised self-correlated learning smoothy enhanced locality preserving graph convolution embedding clustering for hyperspectral images Y Ding, Z Zhang, X Zhao, W Cai, N Yang, H Hu, X Huang, Y Cao, W Cai IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 56 | 2022 |
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification Y Ding, Z Zhang, X Zhao, D Hong, W Cai, N Yang, B Wang Expert Systems with Applications 223, 119858, 2023 | 45 | 2023 |
Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation Z Chen, G Wu, H Gao, Y Ding, D Hong, B Zhang Expert Systems with Applications 232, 120828, 2023 | 35 | 2023 |
Superpixel contracted neighborhood contrastive subspace clustering network for hyperspectral images Y Cai, Z Zhang, P Ghamisi, Y Ding, X Liu, Z Cai, R Gloaguen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 25 | 2022 |
Temporal difference-guided network for hyperspectral image change detection Z Chen, Y Wang, H Gao, Y Ding, Q Zhong, D Hong, B Zhang International Journal of Remote Sensing 44 (19), 6033-6059, 2023 | 16 | 2023 |
Hyperspectral image classification based on graph transformer network and graph attention mechanism X Zhao, J Niu, C Liu, Y Ding, D Hong IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 12 | 2022 |
Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image Classification W Cai, M Gao, Y Ding, X Ning, X Bai, P Qian IEEE Transactions on Geoscience and Remote Sensing, 2023 | 8 | 2023 |
Morphic: Auto-Personalization on a Global Scale G Vanderheiden, J Lazar, JB Jordan, Y Ding, RE Wood Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 8 | 2020 |
Understanding decision requirements for selection of assistive technology Y Ding, A Chourasia, D Anson, T Atkins, G Vanderheiden Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59 (1 …, 2015 | 6 | 2015 |
GTFN: GCN and transformer fusion with spatial-spectral features for hyperspectral image classification A Yang, M Li, Y Ding, D Hong, Y Lv, Y He IEEE Transactions on Geoscience and Remote Sensing, 2023 | 5 | 2023 |
Fully linear graph convolutional networks for semi-supervised and unsupervised classification Y Cai, Z Zhang, P Ghamisi, Z Cai, X Liu, Y Ding ACM Transactions on Intelligent Systems and Technology 14 (3), 1-23, 2023 | 5 | 2023 |
Camouflaged object detection based on ternary cascade perception X Jiang, W Cai, Y Ding, X Wang, Z Yang, X Di, W Gao Remote Sensing 15 (5), 1188, 2023 | 5 | 2023 |