| Contrastive multi-view subspace clustering of hyperspectral images based on graph convolutional networks R Guan, Z Li, W Tu, J Wang, Y Liu, X Li, C Tang, R Feng IEEE Transactions on Geoscience and Remote Sensing, 2024 | 62 | 2024 |
| Classification of heterogeneous mining areas based on rescapsnet and gaofen-5 imagery R Guan, Z Li, T Li, X Li, J Yang, W Chen Remote Sensing 14 (13), 3216, 2022 | 41 | 2022 |
| Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering R Guan, Z Li, X Li, C Tang IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023 | 34 | 2023 |
| Attribute-missing graph clustering network W Tu, R Guan, S Zhou, C Ma, X Peng, Z Cai, Z Liu, J Cheng, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15392 …, 2024 | 25 | 2024 |
| Adaptive multi-feature fusion graph convolutional network for hyperspectral image classification J Liu, R Guan*, Z Li, J Zhang, Y Hu, X Wang Remote Sensing 15 (23), 5483, 2023 | 23 | 2023 |
| SMWE-GFPNNet: A high-precision and robust method for forest fire smoke detection R Li, Y Hu, L Li, R Guan, R Yang, J Zhan, W Cai, Y Wang, H Xu, L Li Knowledge-Based Systems 289, 111528, 2024 | 15 | 2024 |
| LUFFD-YOLO: A Lightweight Model for UAV Remote Sensing Forest Fire Detection Based on Attention Mechanism and Multi-Level Feature Fusion Y Han, B Duan, R Guan, G Yang, Z Zhen Remote Sensing 16 (12), 2177, 2024 | 11 | 2024 |
| SSMA-YOLO: A Lightweight YOLO Model with Enhanced Feature Extraction and Fusion Capabilities for Drone-Aerial Ship Image Detection Y Han, J Guo, H Yang, R Guan, T Zhang Drones 8 (4), 145, 2024 | 10 | 2024 |
| Spatial-spectral graph contrastive clustering with hard sample mining for hyperspectral images R Guan, W Tu, Z Li, H Yu, D Hu, Y Chen, C Tang, Q Yuan, X Liu IEEE Transactions on Geoscience and Remote Sensing, 2024 | 9 | 2024 |
| Remote sensing scene data generation using element geometric transformation and GAN-based texture synthesis Z Liu, R Guan, J Hu, W Chen, X Li Applied Sciences 12 (8), 3972, 2022 | 9 | 2022 |
| S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images R Guan, Z Li, C Song, G Yu, X Li, R Feng IJCNN 2024, 2024 | 5 | 2024 |
| Superpixel-based dual-neighborhood contrastive graph autoencoder for deep subspace clustering of hyperspectral image J Li, R Guan, Y Han, Y Hu, Z Li, Y Wu, Z Xu, X Li International Conference on Intelligent Computing, 181-192, 2024 | 4 | 2024 |
| Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering J Wang, R Guan, K Gao, Z Li, H Li, X Li, C Tang IJCNN 2024, 2024 | 4 | 2024 |
| scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data D Hu, R Guan, K Liang, H Yu, H Quan, Y Zhao, X Liu, K He Briefings in Bioinformatics 25 (6), bbae483, 2024 | 1 | 2024 |
| FACNet: A high-precision pumpkin seedling point cloud organ segmentation method Z Liu, J Zhao, Y Hu, R Li, Q Deng, R Guan, R Yang, Z Xu, G Zhou Computers and Electronics in Agriculture 231, 110049, 2025 | | 2025 |
| A novel scene coupling semantic mask network for remote sensing image segmentation X Ma, R Lian, Z Wu, R Guan, T Hong, M Zhao, M Ma, J Nie, Z Du, S Song, ... ISPRS Journal of Photogrammetry and Remote Sensing 221, 44-63, 2025 | | 2025 |
| Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks X Li, R Guan, Z Li, H Liu, J Yang Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2023 | | 2023 |
| A Precise Segmentation Algorithm of Pumpkin Seedling Point Cloud Stem Based on Cphnet R Li, J Zhao, Y Hu, Q Deng, G Zhou, R Guan, L Li Available at SSRN 4744738, 0 | | |