| 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 | 136 | 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 | 123 | 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 | 78 | 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 | 69 | 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 | 55 | 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 | 53 | 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 | 41 | 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 | 31 | 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 | 23 | 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 | 10 | 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 |
Gregg VanderheidenPreviously at U of Wisc - Now at University of Maryland, College ParkVerified email at umd.edu
