Fujiao Ju

According to our database, Fujiao Ju authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

Graph Neural Networks with Soft Association between Topology and Attribute.

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Principal component analysis based on graph embedding.

Fujiao Ju, Yanfeng Sun, Jianqiang Li, Yaxiao Zhang, Xinglin Piao

Multim. Tools Appl., February, 2023

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision.

Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin

Neural Networks, January, 2023

2022

Probabilistic Linear Discriminant Analysis Based on L₁-Norm and Its Bayesian Variational Inference.

Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin

IEEE Trans. Cybern., 2022

Adversarially regularized joint structured clustering network.

Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin

Inf. Sci., 2022

Attention-based Multi-flow Network for COVID-19 Classification and Lesion Localization from Chest CT.

Jianqiang Li, Yuanhang Di, Guangling Qi, Linna Zhao, Fujiao Ju

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin

IEEE Trans. Multim., 2021

Non-parametric Bayesian dictionary learning based on Laplace noise.

Fujiao Ju, Yanfeng Sun, Mingyang Li

Multim. Tools Appl., 2021

Kronecker-decomposable robust probabilistic tensor discriminant analysis.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Inf. Sci., 2021

2019

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2019

Tensorizing Restricted Boltzmann Machine.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Michael Antolovich, Jun-Liang Dong, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2019

2018

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Matrix variate RBM model with Gaussian distributions.

Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

L1-2DPCA Revisit via Optimization on Product Manifolds.

Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Modulus Methods for Nonnegatively Constrained Image Restoration.

Jun-Liang Dong, Junbin Gao, Fujiao Ju, Jinghua Shen

SIAM J. Imaging Sci., 2016

Nonparametric tensor dictionary learning with beta process priors.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Neurocomputing, 2016

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu

CoRR, 2016

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Image Process., 2015