| Multiscale dynamic graph convolutional network for hyperspectral image classification S Wan, C Gong, P Zhong, B Du, L Zhang, J Yang IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3162-3177, 2019 | 405 | 2019 |
| Hyperspectral image classification with context-aware dynamic graph convolutional network S Wan, C Gong, P Zhong, S Pan, G Li, J Yang IEEE Transactions on Geoscience and Remote Sensing 59 (1), 597-612, 2020 | 184 | 2020 |
| Contrastive and generative graph convolutional networks for graph-based semi-supervised learning S Wan, S Pan, J Yang, C Gong AAAI 2021, 2020 | 146 | 2020 |
| Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification S Wan, S Pan, P Zhong, X Chang, J Yang, C Gong IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 79* | 2021 |
| Contrastive graph poisson networks: Semi-supervised learning with extremely limited labels S Wan, Y Zhan, L Liu, B Yu, S Pan, C Gong Advances in Neural Information Processing Systems 34, 6316-6327, 2021 | 49 | 2021 |
| Multi-level graph learning network for hyperspectral image classification S Wan, S Pan, S Zhong, J Yang, J Yang, Y Zhan, C Gong Pattern Recognition 129, 108705, 2022 | 35* | 2022 |
| Hyperspectral Image Classification With Contrastive Graph Convolutional Network W Yu, S Wan, G Li, J Yang, C Gong IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 21 | 2023 |
| Dynamic Spectral–Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels S Zhong, T Zhou, S Wan, J Yang, C Gong IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 10 | 2021 |
| Semi-Supervised hyperspectral image classification using local low-rank representation S Ren, S Wan, X Gu, P Yuan, H Xu Remote Sensing Letters 10 (2), 195-204, 2019 | 7 | 2019 |
| Boosting Graph Contrastive Learning via Adaptive Sampling S Wan, Y Zhan, S Chen, S Pan, J Yang, D Tao, C Gong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| 基于图神经网络的高光谱图像分类研究进展 万升， 杨健， 宫辰 电子学报 51 (6), 1687-1709, 2023 | 5* | 2023 |
| Hyperspectral image classification based on robust discriminative extraction of multiple spectral-spatial features S Ren, S Wan, X Gu, X Shu, H Xu International Journal of Remote Sensing 40 (15), 5812-5834, 2019 | 3 | 2019 |
| Edge-aware graph attention network for ratio of edge-user estimation in mobile networks J Deng, S Wan, X Wang, E Tu, X Huang, J Yang, C Gong 2020 25th International Conference on Pattern Recognition (ICPR), 9988-9995, 2021 | 2 | 2021 |
| Easy-to-Hard Domain Adaptation with Human Interaction for Hyperspectral Image Classification C Zhang, S Zhong, S Wan, C Gong IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels Y Yuan, S Wan, C Zhang, C Gong Pacific Rim International Conference on Artificial Intelligence, 117-123, 2023 | 1 | 2023 |
| A novel clinical artificial intelligence model for disease detection via retinal imaging Y Fu, L Ma, S Wan, S Ge, Z Yang The Innovation 5 (2), 2024 | | 2024 |
| Class-Imbalanced Semi-Supervised Learning with Inverse Auxiliary Classifier. T Jiang, S Wan, C Gong BMVC, 908-910, 2023 | | 2023 |
Chen GongProfessor@Nanjing University of Science and TechnologyVerified email at njust.edu.cn
