Shihui Ying

Orcid: 0000-0001-9423-0146

According to our database1, Shihui Ying authored at least 109 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep unfolding network with spatial alignment for multi-modal MRI reconstruction.
Medical Image Anal., 2025

2024
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction.
IEEE Trans. Medical Imaging, November, 2024

Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification.
IEEE Trans. Medical Imaging, November, 2024

FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment.
IEEE J. Biomed. Health Informatics, November, 2024

OTCLDA: Optimal Transport and Contrastive Learning for Domain Adaptive Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., October, 2024

Histopathology Image Classification With Noisy Labels via The Ranking Margins.
IEEE Trans. Medical Imaging, August, 2024

Intrinsic semi-parametric regression model on Grassmannian manifolds with applications.
Commun. Stat. Simul. Comput., August, 2024

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images.
IEEE Trans. Medical Imaging, July, 2024

Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image.
IEEE J. Biomed. Health Informatics, July, 2024

Penalized Flow Hypergraph Local Clustering.
IEEE Trans. Knowl. Data Eng., May, 2024

Hypergraph Isomorphism Computation.
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

A fine-grained orthodontics segmentation model for 3D intraoral scan data.
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

Self-adaptive subspace representation from a geometric intuition.
Pattern Recognit., 2024

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.
Patterns, 2024

Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images.
Inf. Process. Manag., 2024

Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations.
Comput. Phys. Commun., 2024

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
CoRR, 2024

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation.
CoRR, 2024

Time multiscale regularization for nonlinear image registration.
Comput. Medical Imaging Graph., 2024

B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion.
Comput. Biol. Medicine, 2024

Cross-Evaluation and Re-weighting for Multi-Source-Free Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Hypergraph Dynamic System.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification.
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

GAME: GAussian Mixture Error-based meta-learning architecture.
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

Structure Evolution on Manifold for Graph Learning.
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

A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy.
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

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis.
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

JSMix: a holistic algorithm for learning with label noise.
Neural Comput. Appl., 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

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification.
CoRR, 2023

Fast MRI Reconstruction via Edge Attention.
CoRR, 2023

Domain Adaptive Semantic Segmentation by Optimal Transport.
CoRR, 2023

2022
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging, 2022

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.
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

Rotation-Invariant Point Cloud Representation for 3-D Model Recognition.
IEEE Trans. Cybern., 2022

Kullback-Leibler Divergence Metric Learning.
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

Multitask transfer learning with kernel representation.
Neural Comput. Appl., 2022

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022

DeLISA: Deep learning based iteration scheme approximation for solving PDEs.
J. Comput. Phys., 2022

Intrinsic partial linear models for manifold-valued data.
Inf. Process. Manag., 2022

Deep Hypergraph Structure Learning.
CoRR, 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

Lightweight adaptive weighted network for single image super-resolution.
Comput. Vis. Image Underst., 2021

2020
Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor.
Sensors, 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

An Accelerated and Robust Partial Registration Algorithm for Point Clouds.
IEEE Access, 2020

A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy.
IEEE Access, 2020

A Local-to-Global Metric Learning Framework From the Geometric Insight.
IEEE Access, 2020

Multi-metric Joint Discrimination Network for Few-Shot Classification.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

IExpressNet: Facial Expression Recognition with Incremental Classes.
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
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection.
IEEE J. Biomed. Health Informatics, 2019

Quaternion Grassmann average network for learning representation of histopathological image.
Pattern Recognit., 2019

Intrinsic Metric Learning With Subspace Representation.
IEEE Access, 2019

Geometric Understanding for Unsupervised Subspace Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification.
Proceedings of the International Conference on Robotics and Automation, 2019

Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation.
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

Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.
Int. J. Neural Syst., 2018

Global Nonlinear Metric Learning by Gluing Local Linear Metrics.
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

Histopathological image classification with bilinear convolutional neural networks.
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

Nonlinear 2D shape registration via thin-plate spline and Lie group representation.
Neurocomputing, 2016

Compute Karcher means on SO(n) by the geometric conjugate gradient method.
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

An Image Copy Move Forgery Detection Method Using QDCT.
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

LieTrICP: An improvement of trimmed iterative closest point algorithm.
Neurocomputing, 2014

2013
Soft shape registration under Lie group frame.
IET Comput. Vis., 2013

Inter-group image registration by hierarchical graph shrinkage.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Groupwise Registration via Graph Shrinkage on the Image Manifold.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Iwasawa decomposition: a new approach to 2D affine registration problem.
Pattern Anal. Appl., 2011

2010
Affine iterative closest point algorithm for point set registration.
Pattern Recognit. Lett., 2010

Scaling iterative closest point algorithm for registration of m-D point sets.
J. Vis. Commun. Image Represent., 2010

Lie group method: A new approach to image matching with arbitrary orientations.
Int. J. Imaging Syst. Technol., 2010

2009
A Scale Stretch Method Based on ICP for 3D Data Registration.
IEEE Trans Autom. Sci. Eng., 2009

Lie Group Framework of Iterative Closest Point Algorithm for n-d Data Registration.
Int. J. Pattern Recognit. Artif. Intell., 2009

A New Approach to Weighted Graph Matching.
IEICE Trans. Inf. Syst., 2009

2007
ICP with Bounded Scale for Registration of M-D Point Sets.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

AN Extension of the ICP Algorithm Considering Scale Factor.
Proceedings of the International Conference on Image Processing, 2007


  Loading...