Liangjian Wen

According to our database, Liangjian Wen authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck.

Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting.

Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan

CoRR, 2024

Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling.

Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

CoRR, 2024

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.

Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi

CoRR, 2024

2023

Generative Oversampling for Imbalanced Data via Majority-Guided VAE.

Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

AFINet: Attentive Feature Integration Networks for image classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu

Neural Networks, 2022

Structure-Preserving Graph Representation Learning.

Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling.

Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Self-Supervision Can Be a Good Few-Shot Learner.

Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Gradient estimation of information measures in deep learning.

Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu

Knowl. Based Syst., 2021

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.

Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu

CoRR, 2021

Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition.

Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

CoRR, 2021

AFINet: Attentive Feature Integration Networks for Image Classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu

CoRR, 2021

Rectifying the Shortcut Learning of Background for Few-Shot Learning.

Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-supervised Consensus Representation Learning for Attributed Graph.

Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Boosting Few-Shot Classification with View-Learnable Contrastive Learning.

Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Structured pruning of recurrent neural networks through neuron selection.

Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu

Neural Networks, 2020

Mutual Information Gradient Estimation for Representation Learning.

Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Low-rank kernel learning for graph-based clustering.

Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu

Knowl. Based Syst., 2019