| Weighted spatial pyramid matching collaborative representation for remote-sensing-image scene classification BD Liu, J Meng, WY Xie, S Shao, Y Li, Y Wang Remote Sensing 11 (5), 518, 2019 | 57 | 2019 |
| MHFC: Multi-Head Feature Collaboration for Few-Shot Learning S Shao, L Xing, Y Wang, R Xu, C Zhao, Y Wang, B Liu 29th ACM International Conference on Multimedia (ACMMM), 4193-4201, 2021 | 41 | 2021 |
| MDFM: Multi-Decision Fusing Model for Few-Shot Learning S Shao, L Xing, R Xu, W Liu, YJ Wang, BD Liu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 | 35 | 2021 |
| Label embedded dictionary learning for image classification S Shao, R Xu, W Liu, BD Liu, YJ Wang Neurocomputing 385, 122-131, 2020 | 32 | 2020 |
| GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning R Xu, L Xing, S Shao, L Zhao, B Liu, W Liu, Y Zhou IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 | 22 | 2022 |
| Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification L Xing, S Shao, Y Ma, Y Wang, W Liu, B Liu IEEE Geoscience and Remote Sensing Letters (GRSL) 19, 1-5, 2022 | 20 | 2022 |
| Fvp: Fourier visual prompting for source-free unsupervised domain adaptation of medical image segmentation Y Wang, J Cheng, Y Chen, S Shao, L Zhu, Z Wu, T Liu, H Zhu IEEE Transactions on Medical Imaging (TMI), 2023 | 17 | 2023 |
| Learning task-specific discriminative embeddings for few-shot image classification L Xing, S Shao, W Liu, A Han, X Pan, BD Liu Neurocomputing 488, 1-13, 2022 | 16 | 2022 |
| Class specific or shared? a cascaded dictionary learning framework for image classification YJ Wang, S Shao, R Xu, W Liu, BD Liu Signal Processing 176, 107697, 2020 | 14 | 2020 |
| FADS: Fourier-Augmentation based Data-Shunting for Few-Shot Classification S Shao, Y Wang, B Liu, W Liu, Y Wang, B Liu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 | 10 | 2023 |
| Rethinking few-shot remote sensing scene classification: a good embedding is all you need? L Xing, Y Ma, W Cao, S Shao, W Liu, B Liu IEEE Geoscience and Remote Sensing Letters (GRSL), 2022 | 9 | 2022 |
| CSN: Component supervised network for few-shot classification R Xu, S Shao*, L Xing, Y Wei, W Liu, B Liu, Y Wang* Engineering Applications of Artificial Intelligence (EAAI) 124, 106640, 2023 | 7 | 2023 |
| Attention-based Multi-View Feature Collaboration for Decoupled Few-Shot Learning S Shao, L Xing, Y Wang, B Liu, W Liu, Y Zhou IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 | 7 | 2022 |
| Co-learning for few-shot learning R Xu, L Xing, S Shao, B Liu, K Zhang, W Liu Neural Processing Letters 54 (4), 3339-3356, 2022 | 6 | 2022 |
| DLDL: Dynamic label dictionary learning via hypergraph regularization S Shao, R Xu, Z Wang, W Liu, YJ Wang, BD Liu Neurocomputing 475, 80-88, 2022 | 5 | 2022 |
| SSDL: Self-Supervised Dictionary Learning S Shao, L Xing, W Yu, R Xu, YJ Wang, BD Liu 2021 IEEE International Conference on Multimedia and Expo (ICME, oral), 1-6, 2021 | 5 | 2021 |
| RAN: Region-Aware Network for Remote Sensing Image Super-Resolution B Liu, L Zhao, S Shao, W Liu, D Tao, W Cao, Y Zhou IEEE Transactions on Geoscience and Remote Sensing (TGARS), 2023 | 4 | 2023 |
| Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification R Xu, S Shao*, L Xing, Y Wang, B Liu, W Liu Engineering Applications of Artificial Intelligence (EAAI) 132, 107915, 2024 | 3 | 2024 |
| Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning S Shao, Y Bai, Y Wang, B Liu, B Liu Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 38 (5 …, 2024 | 3 | 2024 |
| Few-shot image classification via hybrid representation B Liu, S Shao*, C Zhao, L Xing, W Liu, W Cao, Y Zhou Pattern Recognition （PR）, 110640, 2024 | 2 | 2024 |
