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Journal Articles
- 2025
[j18]Fujiao Ju, Yuan Li, Jingxin Zhao, Mingjie Dong:
2D/3D fast fine registration in minimally invasive pelvic surgery. Biomed. Signal Process. Control. 100: 107145 (2025)- 2024
- [j17]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: 108041 (2024) - [j16]Fengqin Wang, Hongyang Chen, Zuhe Li, Yanjun Wang, Erlin Tian, Fujiao Ju, Xiangzhou Bu, Hui Chen, Junmin Wang:
Lightweight high-resolution network based on adaptive cross-dimensional weighting for human pose estimation. J. Electronic Imaging 33(2) (2024) - [j15]Yachao Yang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Fujiao Ju, Baocai Yin:
A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14783-14796 (2024) - 2023
- [j14]Fujiao Ju, Yanfeng Sun, Jianqiang Li, Yaxiao Zhang, Xinglin Piao:
Principal component analysis based on graph embedding. Multim. Tools Appl. 82(5): 7105-7116 (2023) - [j13]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: 305-317 (2023) - 2022
- [j12]Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin:
Adversarially regularized joint structured clustering network. Inf. Sci. 615: 136-151 (2022) - [j11]Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin:
Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference. IEEE Trans. Cybern. 52(3): 1616-1627 (2022) - 2021
- [j10]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Kronecker-decomposable robust probabilistic tensor discriminant analysis. Inf. Sci. 561: 196-210 (2021) - [j9]Fujiao Ju, Yanfeng Sun, Mingyang Li:
Non-parametric Bayesian dictionary learning based on Laplace noise. Multim. Tools Appl. 80(28-29): 35993-36007 (2021) - [j8]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: 216-227 (2021) - [j7]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): 3484-3497 (2021) - 2019
- [j6]Fujiao Ju, Yanfeng Sun, Junbin Gao, Michael Antolovich, Jun-Liang Dong, Baocai Yin:
Tensorizing Restricted Boltzmann Machine. ACM Trans. Knowl. Discov. Data 13(3): 30:1-30:16 (2019) - [j5]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): 2938-2950 (2019) - 2018
- [j4]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): 4579-4592 (2018) - 2016
- [j3]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Nonparametric tensor dictionary learning with beta process priors. Neurocomputing 218: 120-130 (2016) - [j2]Jun-Liang Dong, Junbin Gao, Fujiao Ju, Jinghua Shen:
Modulus Methods for Nonnegatively Constrained Image Restoration. SIAM J. Imaging Sci. 9(3): 1226-1246 (2016) - 2015
- [j1]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): 4834-4846 (2015)
Conference and Workshop Papers
- 2024
- [c5]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: 9260-9268 - 2022
- [c4]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: 1-6 - 2017
- [c3]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju:
L1-2DPCA Revisit via Optimization on Product Manifolds. DICTA 2017: 1-7 - [c2]Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin:
Matrix variate RBM model with Gaussian distributions. IJCNN 2017: 808-815 - 2016
- [c1]Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin:
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. CVPR 2016: 4462-4470
Informal and Other Publications
- 2017
- [i2]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. CoRR abs/1707.00380 (2017) - 2016
- [i1]Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu:
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. CoRR abs/1601.01431 (2016)
Coauthor Index
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