| Low-rank kernel learning for graph-based clustering Z Kang, L Wen, W Chen, Z Xu Knowledge-Based Systems 163, 510-517, 2019 | 141 | 2019 |
| Rectifying the shortcut learning of background for few-shot learning X Luo, L Wei, L Wen, J Yang, L Xie, Z Xu, Q Tian Advances in Neural Information Processing Systems 34, 13073-13085, 2021 | 47 | 2021 |
| Structured pruning of recurrent neural networks through neuron selection L Wen, X Zhang, H Bai, Z Xu Neural Networks 123, 134-141, 2020 | 33 | 2020 |
| Boosting few-shot classification with view-learnable contrastive learning X Luo, Y Chen, L Wen, L Pan, Z Xu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 23 | 2021 |
| Self-supervised consensus representation learning for attributed graph C Liu, L Wen, Z Kang, G Luo, L Tian Proceedings of the 29th ACM International Conference on Multimedia, 2654-2662, 2021 | 22 | 2021 |
| Mutual information gradient estimation for representation learning L Wen, Y Zhou, L He, M Zhou, Z Xu International Conference on Learning Representations, 2020 | 20 | 2020 |
| Study of medium beta elliptical cavities for CADS L Wen, S Zhang, Y Li, R Wang, H Guo, C Zhang, H Jia, T Jiang, C Li, Y He Chinese Physics C 40 (2), 027004, 2016 | 16 | 2016 |
| Self-supervision can be a good few-shot learner Y Lu, L Wen, J Liu, Y Liu, X Tian Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 12 | 2022 |
| Structure-preserving graph representation learning R Fang, L Wen, Z Kang, J Liu arXiv preprint arXiv:2209.00793, 2022 | 10 | 2022 |
| 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 |
| LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling L Wen, Y Zhu, L Ye, G Chen, B Yu, J Liu, C Xu Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 2 | 2022 |
| Gradient estimation of information measures in deep learning L Wen, H Bai, L He, Y Zhou, M Zhou, Z Xu Knowledge-Based Systems 224, 107046, 2021 | 2 | 2021 |
| Generative Oversampling for Imbalanced Data via Majority-Guided VAE Q Ai, P Wang, L He, L Wen, L Pan, Z Xu International Conference on Artificial Intelligence and Statistics, 3315-3330, 2023 | | 2023 |
| Auto-view contrastive learning for few-shot image recognition X Luo, Y Chen, L Wen, L Pan, Z Xu | | |
| Supplementary Materials for the Paper: Self-Supervision Can Be a Good Few-Shot Learner Y Lu, L Wen, J Liu, Y Liu, X Tian | | |
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng LabVerified email at hit.edu.cn
