Fujiao Ju

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Variational Inference

Discriminant Analysis

Probabilistic Principal Component Analysis

Subspace Clustering

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Multim. Tools Appl.

Publications

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin
Graph Neural Networks with Soft Association between Topology and Attribute. AAAI (2024)
Baokai Zu, Tong Cao, Yafang Li, Jianqiang Li, Fujiao Ju, Hongyuan Wang
SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification. Eng. Appl. Artif. Intell. 133 (2024)
Fujiao Ju, Yanfeng Sun, Jianqiang Li, Yaxiao Zhang, Xinglin Piao
Principal component analysis based on graph embedding. Multim. Tools Appl. 82 (5) (2023)
Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. Neural Networks 158 (2023)
Jianqiang Li, Yuanhang Di, Guangling Qi, Linna Zhao, Fujiao Ju
Attention-based Multi-flow Network for COVID-19 Classification and Lesion Localization from Chest CT. ICNSC (2022)
Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin
Adversarially regularized joint structured clustering network. Inf. Sci. 615 (2022)
Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin
-Norm and Its Bayesian Variational Inference. IEEE Trans. Cybern. 52 (3) (2022)
Fujiao Ju, Yanfeng Sun, Mingyang Li
Non-parametric Bayesian dictionary learning based on Laplace noise. Multim. Tools Appl. 80 (28-29) (2021)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Kronecker-decomposable robust probabilistic tensor discriminant analysis. Inf. Sci. 561 (2021)
Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin
Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. IEEE Trans. Multim. 23 (2021)
Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Michael Antolovich, Jun-Liang Dong, Baocai Yin
Tensorizing Restricted Boltzmann Machine. ACM Trans. Knowl. Discov. Data 13 (3) (2019)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin
Matrix variate RBM model with Gaussian distributions. IJCNN (2017)
Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju
L1-2DPCA Revisit via Optimization on Product Manifolds. DICTA (2017)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. CoRR (2017)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. CVPR (2016)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. CoRR (2016)
Jun-Liang Dong, Junbin Gao, Fujiao Ju, Jinghua Shen
Modulus Methods for Nonnegatively Constrained Image Restoration. SIAM J. Imaging Sci. 9 (3) (2016)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Nonparametric tensor dictionary learning with beta process priors. Neurocomputing 218 (2016)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA. IEEE Trans. Image Process. 24 (12) (2015)