Liangjian Wen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Gradient Estimation

Kernel Learning

Imbalanced Data

Image Recognition

Top Venues

Knowl. Based Syst.

Neural Networks

Publications

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 (2024)
Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. CoRR (2024)
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 (2024)
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) (2024)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR (2023)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS (2023)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) (2022)
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 (2022)
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)
Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
Structure-Preserving Graph Representation Learning. CoRR (2022)
Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
Structure-Preserving Graph Representation Learning. ICDM (2022)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
Self-Supervision Can Be a Good Few-Shot Learner. CoRR (2022)
Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224 (2021)
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)
Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. CoRR (2021)
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
Self-supervised Consensus Representation Learning for Attributed Graph. ACM Multimedia (2021)
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
Self-supervised Consensus Representation Learning for Attributed Graph. CoRR (2021)
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. CoRR (2021)
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 (2021)
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
AFINet: Attentive Feature Integration Networks for Image Classification. CoRR (2021)
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. ICME (2021)
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
Mutual Information Gradient Estimation for Representation Learning. CoRR (2020)
Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu
Structured pruning of recurrent neural networks through neuron selection. Neural Networks 123 (2020)
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
Mutual Information Gradient Estimation for Representation Learning. ICLR (2020)
Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
Low-rank Kernel Learning for Graph-based Clustering. CoRR (2019)
Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
Low-rank kernel learning for graph-based clustering. Knowl. Based Syst. 163 (2019)