Liangjian Wen
Liangjian Wen
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Low-rank kernel learning for graph-based clustering
Z Kang, L Wen, W Chen, Z Xu
Knowledge-Based Systems 163, 510-517, 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
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
Structured pruning of recurrent neural networks through neuron selection
L Wen, X Zhang, H Bai, Z Xu
Neural Networks 123, 134-141, 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
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
Mutual information gradient estimation for representation learning
L Wen, Y Zhou, L He, M Zhou, Z Xu
International Conference on Learning Representations, 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
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
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
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
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
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
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
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
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
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