Shihui Ying
Orcid: 0000-0001-9423-0146
According to our database1,
Shihui Ying
authored at least 92 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
IEEE Trans. Medical Imaging, March, 2024
Comput. Biol. Medicine, January, 2024
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model.
IEEE Trans. Inf. Theory, 2024
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration.
SIAM J. Imaging Sci., 2024
UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.
Patterns, 2024
2023
IEEE J. Biomed. Health Informatics, December, 2023
Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior.
Neural Process. Lett., December, 2023
Iterative optimization method for determining optimal shape parameter in RBF-FD method.
Appl. Math. Lett., November, 2023
Neural Comput. Appl., October, 2023
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images.
IEEE J. Biomed. Health Informatics, July, 2023
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.
Neural Networks, July, 2023
PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest.
Comput. Vis. Image Underst., July, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net.
IEEE J. Biomed. Health Informatics, April, 2023
IEEE Trans. Neural Networks Learn. Syst., March, 2023
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images.
IEEE J. Biomed. Health Informatics, March, 2023
Pattern Recognit., 2023
Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Neural Comput. Appl., 2023
CoRR, 2023
HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations.
CoRR, 2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images.
CoRR, 2023
CoRR, 2023
CoRR, 2023
2022
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging, 2022
IEEE J. Biomed. Health Informatics, 2022
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Cybern., 2022
Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds.
Optim. Lett., 2022
Long Time Series Deep Forecasting with Multiscale Feature Extraction and Seq2seq Attention Mechanism.
Neural Process. Lett., 2022
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022
J. Comput. Phys., 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images.
CoRR, 2022
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers.
IEEE J. Biomed. Health Informatics, 2021
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation.
IEEE J. Biomed. Health Informatics, 2021
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.
Pattern Recognit., 2021
Comput. Vis. Image Underst., 2021
2020
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease.
Neurocomputing, 2020
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease.
Cogn. Comput., 2020
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis.
Cogn. Comput., 2020
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Quaternion Grassmann average network for learning representation of histopathological image.
Pattern Recognit., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
2018
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, 2018
A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine.
Neurocomputing, 2018
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine.
Neurocomputing, 2018
Int. J. Neural Syst., 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
2017
Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier.
IEEE J. Biomed. Health Informatics, 2017
Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis.
Pattern Recognit. Lett., 2016
Neurocomputing, 2016
Neurocomputing, 2016
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016
2014
Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set.
NeuroImage, 2014
Neurocomputing, 2014
2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2011
Pattern Anal. Appl., 2011
2010
Pattern Recognit. Lett., 2010
J. Vis. Commun. Image Represent., 2010
Int. J. Imaging Syst. Technol., 2010
2009
IEEE Trans Autom. Sci. Eng., 2009
Int. J. Pattern Recognit. Artif. Intell., 2009
2007
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
Proceedings of the International Conference on Image Processing, 2007