Fujiao Ju

Orcid: 0000-0002-0188-6996

According to our database¹, Fujiao Ju authored at least 22 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2024

SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Graph Neural Networks with Soft Association between Topology and Attribute.

[BibT_eX]

[DOI]

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

2023

Principal component analysis based on graph embedding.

[BibT_eX]

[DOI]

Multim. Tools Appl., February, 2023

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

[BibT_eX]

[DOI]

Neural Networks, January, 2023

2022

Probabilistic Linear Discriminant Analysis Based on L<sub>1</sub>-Norm and Its Bayesian Variational Inference.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Adversarially regularized joint structured clustering network.

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

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

2021

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Non-parametric Bayesian dictionary learning based on Laplace noise.

[BibT_eX]

[DOI]

Fujiao Ju

Yanfeng Sun

Mingyang Li

Multim. Tools Appl., 2021

Kronecker-decomposable robust probabilistic tensor discriminant analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2021

2019

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Tensorizing Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

2018

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Matrix variate RBM model with Gaussian distributions.

[BibT_eX]

[DOI]

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

L1-2DPCA Revisit via Optimization on Product Manifolds.

[BibT_eX]

[DOI]

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

2016

Modulus Methods for Nonnegatively Constrained Image Restoration.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Nonparametric tensor dictionary learning with beta process priors.

[BibT_eX]

[DOI]

Neurocomputing, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Fujiao Ju

Timeline

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