| Compressing recurrent neural networks with tensor ring for action recognition Y Pan, J Xu, M Wang, J Ye, F Wang, K Bai, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4683-4690, 2019 | 79 | 2019 |
| RegNet: self-regulated network for image classification J Xu, Y Pan, X Pan, S Hoi, Z Yi, Z Xu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 30 | 2022 |
| MultiFace: A generic training mechanism for boosting face recognition performance J Xu, T Guo, Y Xu, Z Xu, K Bai Neurocomputing 448, 40-47, 2021 | 7 | 2021 |
| Channel importance matters in few-shot image classification X Luo, J Xu, Z Xu International conference on machine learning, 14542-14559, 2022 | 6 | 2022 |
| Tensor ring restricted Boltzmann machines M Wang, C Zhang, Y Pan, J Xu, Z Xu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
| Afinet: Attentive feature integration networks for image classification X Pan, J Xu, Y Pan, L Wen, W Lin, K Bai, H Fu, Z Xu Neural Networks 155, 360-368, 2022 | 3 | 2022 |
| Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid J Xu, X Luo, X Pan, W Pei, Y Li, Z Xu NuerIPS 2022, 2022 | 2 | 2022 |
| Exploring category-correlated feature for few-shot image classification J Xu, X Pan, X Luo, W Pei, Z Xu arXiv preprint arXiv:2112.07224, 2021 | 2 | 2021 |
| A Closer Look at Few-shot Classification Again X Luo, H Wu, J Zhang, L Gao, J Xu, J Song arXiv preprint arXiv:2301.12246, 2023 | 1 | 2023 |
| Semantically proportional patchmix for few-shot learning J Wang, J Xu, Y Pan, Z Xu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Angular triplet loss-based camera network for reid Y Li, R Xue, M Zhu, J Xu, Z Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 1 | 2021 |
