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)

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Simeng Liu; Yongli Hu; Baocai Yin (CVPR, 2016)

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Simeng Liu; Yongli Hu (CoRR, 2016)

Nonparametric tensor dictionary learning with beta process priors. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Neurocomputing, 2016)

Modulus Methods for Nonnegatively Constrained Image Restoration. - Jun-Liang Dong; Junbin Gao; Fujiao Ju; Jinghua Shen (SIAM J. Imaging Sci., 2016)

L1-2DPCA Revisit via Optimization on Product Manifolds. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Fujiao Ju (DICTA, 2017)

Matrix variate RBM model with Gaussian distributions. - Simeng Liu; Yanfeng Sun; Yongli Hu; Junbin Gao; Fujiao Ju; Baocai Yin (IJCNN, 2017)

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)

Tensorizing Restricted Boltzmann Machine. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Michael Antolovich; Jun-Liang Dong; Baocai Yin (ACM Trans. Knowl. Discov. Data, 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)

Kronecker-decomposable robust probabilistic tensor discriminant analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Inf. Sci., 2021)

Non-parametric Bayesian dictionary learning based on Laplace noise. - Fujiao Ju; Yanfeng Sun; Mingyang Li (Multim. Tools Appl., 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)

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)

Attention-based Multi-flow Network for COVID-19 Classification and Lesion Localization from Chest CT. - Jianqiang Li 002; Yuanhang Di; Guangling Qi; Linna Zhao; Fujiao Ju (ICNSC, 2022)

Adversarially regularized joint structured clustering network. - Yachao Yang; Fujiao Ju; Yanfeng Sun; Junbin Gao; Baocai Yin (Inf. Sci., 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)

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. - Yachao Yang; Yanfeng Sun; Fujiao Ju; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2023)

Principal component analysis based on graph embedding. - Fujiao Ju; Yanfeng Sun; Jianqiang Li; Yaxiao Zhang; Xinglin Piao (Multim. Tools Appl., 2023)

Graph Neural Networks with Soft Association between Topology and Attribute. - Yachao Yang; Yanfeng Sun; Shaofan Wang; Jipeng Guo 001; Junbin Gao; Fujiao Ju; Baocai Yin (AAAI, 2024)

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs. - Yachao Yang; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Shaofan Wang; Fujiao Ju; Baocai Yin (CoRR, 2024)

SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification. - Baokai Zu; Tong Cao; Yafang Li; Jianqiang Li 002; Fujiao Ju; Hongyuan Wang (Eng. Appl. Artif. Intell., 2024)

Lightweight high-resolution network based on adaptive cross-dimensional weighting for human pose estimation. - Fengqin Wang; Hongyang Chen; Zuhe Li; Yanjun Wang; Erlin Tian; Fujiao Ju; Xiangzhou Bu; Hui Chen 003; Junmin Wang (J. Electronic Imaging, 2024)

A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. - Yachao Yang; Yanfeng Sun; Shaofan Wang; Junbin Gao; Fujiao Ju; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

2D/3D fast fine registration in minimally invasive pelvic surgery. - Fujiao Ju; Yuan Li; Jingxin Zhao; Mingjie Dong (Biomed. Signal Process. Control., 2025)

The automatic pelvic screw corridor planning for intact pelvises based on deep learning deformable registration. - Fujiao Ju; Xudong Chai; Jingxin Zhao; Mingjie Dong (Comput. Biol. Medicine, 2025)

HDFSN: A hybrid dynamic fracture segmentation network based on pelvic CT images. - Fujiao Ju; Jianyu Zhu; Yichu Wu; Jingxin Zhao (Comput. Graph., 2025)

MiFDeU: Multi-information fusion network based on dual-encoder for pelvic bones segmentation. - Fujiao Ju; Yichu Wu; Mingjie Dong; Jingxin Zhao (Eng. Appl. Artif. Intell., 2025)

Multi-scale signed graph convolutional network based on framelet. - Yuting Chu; Fujiao Ju; Yanfeng Sun; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2025)

The establishment of static digital humans and the integration with spinal models. - Fujiao Ju; Yuxuan Wang; Shuo Wang 001; Chengyin Wang; Yinbo Chen; Jianfeng Li 007; Mingjie Dong; Bin Fang 003; Qianyu Zhuang (CoRR, 2025)