| Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning W Li, L Wang, J Xu, J Huo, Y Gao, J Luo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 676 | 2019 |
| Distribution Consistency based Covariance Metric Networks for Few-shot Learning W Li, J Xu, J Huo, L Wang, Y Gao, J Luo AAAI Conference on Artificial Intelligence (AAAI), 2019 | 269 | 2019 |
| Local descriptor-based multi-prototype network for few-shot learning H Huang, Z Wu, W Li, J Huo, Y Gao Pattern Recognition 116, 107935, 2021 | 92 | 2021 |
| WebCaricature: A Benchmark for Caricature Face Recognition J Huo, W Li, Y Shi, Y Gao, H Yin British Machine Vision Conference (BMVC), 2018 | 90* | 2018 |
| Robust neighborhood embedding for unsupervised feature selection Y Liu, D Ye, W Li, H Wang, Y Gao Knowledge-based systems 193, 105462, 2020 | 88 | 2020 |
| Asymmetric Distribution Measure for Few-shot Learning W Li, L Wang, J Huo, Y Shi, Y Gao, J Luo International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 88 | 2020 |
| LibFewShot: A comprehensive library for few-shot learning W Li, Z Wang, X Yang, C Dong, P Tian, T Qin, J Huo, Y Shi, L Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 80 | 2023 |
| Learning Task-aware Local Representations for Few-shot Learning C Dong, W Li, J Huo, Z Gu, Y Gao International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 80 | 2020 |
| LoFGAN: Fusing Local Representations for Few-Shot Image Generation Z Gu, W Li, J Huo, L Wang, Y Gao IEEE International Conference on Computer Vision (ICCV), 8463-8471, 2021 | 78 | 2021 |
| Deep Embedded Complementary and Interactive Information for Multi-view Classification J Xu, W Li, X Liu, D Zhang, J Liu, J Han AAAI Conference on Artificial Intelligence (AAAI), 2020 | 64 | 2020 |
| Manifold Alignment for Semantically Aligned Style Transfer J Huo, S Jin, W Li, J Wu, YK Lai, Y Shi, Y Gao IEEE International Conference on Computer Vision (ICCV), 14861-14869, 2021 | 59 | 2021 |
| Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning P Tian, W Li, Y Gao IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 50 | 2021 |
| Carigan: Caricature generation through weakly paired adversarial learning W Li, W Xiong, H Liao, J Huo, Y Gao, J Luo Neural Networks 132, 66-74, 2020 | 48 | 2020 |
| Diversity helps: Unsupervised few-shot learning via distribution shift-based data augmentation T Qin, W Li, Y Shi, Y Gao arXiv preprint arXiv:2004.05805, 2020 | 42 | 2020 |
| Temperature network for few-shot learning with distribution-aware large-margin metric W Zhu, W Li, H Liao, J Luo Pattern Recognition 112, 107797, 2021 | 39 | 2021 |
| Tree structure-aware few-shot image classification via hierarchical aggregation M Zhang, S Huang, W Li, D Wang European Conference on Computer Vision (ECCV), 453-470, 2022 | 38 | 2022 |
| Global-and local-aware feature augmentation with semantic orthogonality for few-shot image classification B Shi, W Li, J Huo, P Zhu, L Wang, Y Gao Pattern Recognition 142, 109702, 2023 | 36 | 2023 |
| Modeling inter-class and intra-class constraints in novel class discovery W Li, Z Fan, J Huo, Y Gao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3449-3458, 2023 | 36 | 2023 |
| Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification W Zhu, H Liao, W Li, W Li, J Luo MICCAI 2020, 2020 | 26 | 2020 |
| OPML: A one-pass closed-form solution for online metric learning W Li, Y Gao, L Wang, L Zhou, J Huo, Y Shi Pattern Recognition 75, 302-314, 2018 | 25 | 2018 |
Yang GaoNanjing University, ChinaVerified email at nju.edu.cn
