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2020 – today
- 2024
[j5]Liangjian Wen
, Xiasi Wang, Jianzhuang Liu, Zenglin Xu:
MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6097-6108 (2024)- [i13]Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi:
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR abs/2402.16913 (2024) - [i12]Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. CoRR abs/2403.00869 (2024) - [i11]Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu:
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. CoRR abs/2403.19078 (2024) - 2023
- [c8]Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS 2023: 3315-3330 - [i10]Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR abs/2302.10910 (2023) - 2022
- [j4]Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu:
AFINet: Attentive Feature Integration Networks for image classification. Neural Networks 155: 360-368 (2022) - [c7]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) 2022: 740-758 - [c6]Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu:
LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. ICCAD 2022: 124:1-124:9 - [c5]Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu:
Structure-Preserving Graph Representation Learning. ICDM 2022: 927-932 - [i9]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. CoRR abs/2207.09176 (2022) - [i8]Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu:
Structure-Preserving Graph Representation Learning. CoRR abs/2209.00793 (2022) - 2021
- [j3]Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu:
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224: 107046 (2021) - [c4]Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu:
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. ICME 2021: 1-6 - [c3]Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian:
Self-supervised Consensus Representation Learning for Attributed Graph. ACM Multimedia 2021: 2654-2662 - [c2]Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian:
Rectifying the Shortcut Learning of Background for Few-Shot Learning. NeurIPS 2021: 13073-13085 - [i7]Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu:
AFINet: Attentive Feature Integration Networks for Image Classification. CoRR abs/2105.04354 (2021) - [i6]Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian:
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition. CoRR abs/2107.07746 (2021) - [i5]Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu:
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. CoRR abs/2107.09242 (2021) - [i4]Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu:
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. CoRR abs/2107.09286 (2021) - [i3]Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian:
Self-supervised Consensus Representation Learning for Attributed Graph. CoRR abs/2108.04822 (2021) - 2020
- [j2]Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu:
Structured pruning of recurrent neural networks through neuron selection. Neural Networks 123: 134-141 (2020) - [c1]Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu:
Mutual Information Gradient Estimation for Representation Learning. ICLR 2020 - [i2]Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu:
Mutual Information Gradient Estimation for Representation Learning. CoRR abs/2005.01123 (2020)
2010 – 2019
- 2019
- [j1]Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu:
Low-rank kernel learning for graph-based clustering. Knowl. Based Syst. 163: 510-517 (2019) - [i1]Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu:
Low-rank Kernel Learning for Graph-based Clustering. CoRR abs/1903.05962 (2019)
Coauthor Index
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