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153 2023 Attention multihop graph and multiscale convolutional fusion network for hyperspectral image classification H Zhou, F Luo, H Zhuang, Z Weng, X Gong, Z Lin
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107 2023 Dual-view spectral and global spatial feature fusion network for hyperspectral image classification T Guo, R Wang, F Luo, X Gong, L Zhang, X Gao
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68 2023 Classification via structure-preserved hypergraph convolution network for hyperspectral image Y Duan, F Luo, M Fu, Y Niu, X Gong
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65 2023 Anomaly detection of hyperspectral image with hierarchical antinoise mutual-incoherence-induced low-rank representation T Guo, L He, F Luo, X Gong, Y Li, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023
49 2023 Clnode: Curriculum learning for node classification X Wei, X Gong, Y Zhan, B Du, Y Luo, W Hu
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
34 2023 Effectively predicting whether and when a topic will become prevalent in a social network W Liu, ZH Deng, X Gong, F Jiang, I Tsang
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
33 2015 Generalized Large Margin X Gong, J Yang, D Yuan, W Bao
IEEE Transactions on Multimedia 24, 1055-1066, 2021
27 2021 Recurrent residual dual attention network for airborne laser scanning point cloud semantic segmentation T Zeng, F Luo, T Guo, X Gong, J Xue, H Li
IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023
26 2023 Top-k partial label machine X Gong, D Yuan, W Bao
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24 2021 DCENet: Diff-Feature Contrast Enhancement Network for Semi-supervised Hyperspectral Change Detection F Luo, T Zhou, J Liu, T Guo, X Gong, X Gao
IEEE Transactions on Geoscience and Remote Sensing, 2024
22 2024 Mining top K spread sources for a specific topic and a given node W Liu, ZH Deng, L Cao, X Xu, H Liu, X Gong
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20 2014 Discriminative metric learning for partial label learning X Gong, D Yuan, W Bao
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4428-4439, 2021
18 2021 Learnable background endmember with subspace representation for hyperspectral anomaly detection T Guo, L He, F Luo, X Gong, L Zhang, X Gao
IEEE Transactions on Geoscience and Remote Sensing, 2023
16 2023 Online metric learning for multi-label classification X Gong, D Yuan, W Bao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4012-4019, 2020
16 2020 Partial multi-label learning via large margin nearest neighbour embeddings X Gong, D Yuan, W Bao
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15 2022 Multi-level context feature fusion for semantic segmentation of ALS point cloud T Zeng, F Luo, T Guo, X Gong, J Xue, H Li
IEEE Geoscience and Remote Sensing Letters, 2023
14 2023 Understanding partial multi-label learning via mutual information X Gong, D Yuan, W Bao
Advances in Neural Information Processing Systems 34, 4147-4156, 2021
14 2021 Partial label learning via label influence function X Gong, D Yuan, W Bao
International Conference on Machine Learning, 7665-7678, 2022
12 2022 Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging F Luo, X Chen, X Gong, W Wu, T Guo
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8 2024 