| Low-rank kernel learning for graph-based clustering Z Kang, L Wen, W Chen, Z Xu Knowledge-Based Systems 163, 510-517, 2019 | 169 | 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 | 87 | 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 | 45 | 2021 |
| Structured pruning of recurrent neural networks through neuron selection L Wen, X Zhang, H Bai, Z Xu Neural Networks 123, 134-141, 2020 | 42 | 2020 |
| Self-supervision can be a good few-shot learner Y Lu, L Wen, J Liu, Y Liu, X Tian European conference on computer vision, 740-758, 2022 | 41 | 2022 |
| 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 | 31 | 2021 |
| Mutual information gradient estimation for representation learning L Wen, Y Zhou, L He, M Zhou, Z Xu International Conference on Learning Representations, 2020 | 25 | 2020 |
| Structure-preserving graph representation learning R Fang, L Wen, Z Kang, J Liu 2022 IEEE International Conference on Data Mining (ICDM), 927-932, 2022 | 21 | 2022 |
| 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 |
| 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 | 11 | 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 | 9 | 2022 |
| 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 | 5 | 2023 |
| 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 | 5 | 2021 |
| MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck L Wen, X Wang, J Liu, Z Xu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling S Qi, L Wen, Y Li, Y Yang, Z Li, Z Rao, L Pan, Z Xu arXiv preprint arXiv:2403.00869, 2024 | | 2024 |
| PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations S Qi, Z Xu, Y Li, L Wen, Q Wen, Q Wang, Y Qi arXiv preprint arXiv:2402.16913, 2024 | | 2024 |
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng Lab在 hit.edu.cn 的电子邮件经过验证
