| 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, 2022 | 55 | 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 | 30 | 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 | 18 | 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 | 6 | 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 | 4 | 2021 |
| 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 arXiv preprint arXiv:2403.03465, 2024 | | 2024 |
| 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 | | 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 |
| 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 | | 2023 |
Yuanchao Su (苏远超)IEEE Senior Member, Associate Professor, Xi'an University of Science and TechnologyEmail confirmado em mail2.sysu.edu.cn
