NSCKL: Normalized spectral clustering with kernel-based learning for semisupervised hyperspectral image classification Y Su, L Gao, M Jiang, A Plaza, X Sun, B Zhang IEEE Transactions on Cybernetics 53 (10), 6649-6662, 2022 | 67 | 2022 |
Extreme learning machine with enhanced composite feature for spectral-spatial hyperspectral image classification M Jiang, F Cao, Y Lu IEEE Access 6, 22645-22654, 2018 | 31 | 2018 |
ACGT-Net: Adaptive cuckoo refinement-based graph transfer network for hyperspectral image classification Y Su, J Chen, L Gao, A Plaza, M Jiang, X Xu, X Sun, P Li IEEE Transactions on Geoscience and Remote Sensing, 2023 | 25 | 2023 |
Graph-cut-based collaborative node embeddings for hyperspectral images classification Y Su, M Jiang, L Gao, X Sun, X You, P Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 18 | 2022 |
Random subspace ensemble with enhanced feature for hyperspectral image classification M Jiang, Y Fang, Y Su, G Cai, G Han IEEE Geoscience and Remote Sensing Letters 17 (8), 1373-1377, 2019 | 16 | 2019 |
GraphGST: Graph generative structure-aware transformer for hyperspectral image classification M Jiang, Y Su, L Gao, A Plaza, XL Zhao, X Sun, G Liu IEEE Transactions on Geoscience and Remote Sensing, 2024 | 14 | 2024 |
GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily M Jiang, G Liu, Y Su, X Wu arXiv preprint arXiv:2105.13795, 2021 | 6 | 2021 |
Relation-aware graph structure embedding with co-contrastive learning for drug–drug interaction prediction M Jiang, G Liu, B Zhao, Y Su, W Jin Neurocomputing 572, 127203, 2024 | 1 | 2024 |
Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction W Jin, B Zhao, C Liu, H Zhang, M Jiang International Conference on Artificial Neural Networks, 530-542, 2023 | 1 | 2023 |
Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images Y Su, M Jiang, L Gao, X You, X Sun, P Li IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
Chaotic cuckoos optimization with graph convolution network for hyperspectral data classification J Chen, Y Su, M Jiang, C Zhao, B Sun, P Li IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
Self-attention empowered graph convolutional network for structure learning and node embedding M Jiang, G Liu, Y Su, X Wu Pattern Recognition 153, 110537, 2024 | | 2024 |
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions M Jiang, G Liu, Y Su, W Jin, B Zhao arXiv preprint arXiv:2402.18127, 2024 | | 2024 |
Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder Z Zhu, Y Su, M Jiang, B Pan, J Bai, P Li 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2023 | | 2023 |
Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution X Lin, Y Su, S Li, M Jiang, B Pan, P Li, J Bai, F Liu International Conference on Image and Graphics, 155-165, 2023 | | 2023 |