Shihui Ying

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 92

Top Venues

CoRR

IEEE J. Biomed. Health Informatics

Neurocomputing

IEEE Access

Publications

Chong Deng, Xin-Jian Xu, Shihui Ying
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model. IEEE Trans. Inf. Theory 70 (3) (2024)
Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi
Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying
UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution. Patterns 5 (2) (2024)
Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference. ICLR (2024)
Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao
Hypergraph Dynamic System. ICLR (2024)
Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100× Faster Inference. CoRR (2024)
Lipeng Cai, Jun Shi, Shaoyi Du, Yue Gao, Shihui Ying
Self-adaptive subspace representation from a geometric intuition. Pattern Recognit. 149 (2024)
Hao Zhong, Yubo Zhang, Chenggang Yan, Zuxing Xuan, Ting Yu, Ji Zhang, Shihui Ying, Yue Gao
Penalized Flow Hypergraph Local Clustering. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. IEEE Trans. Medical Imaging 43 (7) (2024)
Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao
Hypergraph Isomorphism Computation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. IEEE Trans. Medical Imaging 43 (3) (2024)
Zhijie Wen, Haixia Wu, Shihui Ying
Histopathology Image Classification With Noisy Labels via The Ranking Margins. IEEE Trans. Medical Imaging 43 (8) (2024)
Lili Bao, Ke Chen, Dexing Kong, Shihui Ying, Tieyong Zeng
Time multiscale regularization for nonlinear image registration. Comput. Medical Imaging Graph. 112 (2024)
Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng
A fine-grained orthodontics segmentation model for 3D intraoral scan data. Comput. Biol. Medicine 168 (2024)
Lili Bao, Jiahao Lu, Shihui Ying, Stefan Sommer
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration. SIAM J. Imaging Sci. 17 (2) (2024)
Dinglei Zhang, Ying Li, Shihui Ying
Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations. Comput. Phys. Commun. 299 (2024)
Jinhe Dong, Jun Shi, Yue Gao, Shihui Ying
GAME: GAussian Mixture Error-based meta-learning architecture. Neural Comput. Appl. 35 (28) (2023)
Zheng Li, Shihui Ying, Jun Wang, Hongjian He, Jun Shi
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. CoRR (2023)
Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Chong Deng, Xin-Jian Xu, Shihui Ying
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model. CoRR (2023)
Jie Hou, Ying Li, Shihui Ying
Iterative optimization method for determining optimal shape parameter in RBF-FD method. Appl. Math. Lett. 145 (2023)
Pengyu Yin, Di Wang, Shaoyi Du, Shihui Ying, Yue Gao, Nanning Zheng
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence. CoRR (2023)
Zhijie Wen, Hui Xu, Shihui Ying
JSMix: a holistic algorithm for learning with label noise. Neural Comput. Appl. 35 (2) (2023)
Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. Neural Networks 164 (2023)
Ying Li, Yanan Zhu, Shihui Ying
Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior. Neural Process. Lett. 55 (9) (2023)
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images. CoRR (2023)
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Dequan Jin, Murong Yang, Ziyan Qin, Jigen Peng, Shihui Ying
A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Hai Wan, Xinwei Zhang, Yubo Zhang, Xibin Zhao, Shihui Ying, Yue Gao
Structure Evolution on Manifold for Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Hao Zhang, Qi Wang, Jun Shi, Shihui Ying, Zhijie Wen
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction. CoRR (2023)
Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. Pattern Recognit. 134 (2023)
Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng
Fast MRI Reconstruction via Edge Attention. CoRR (2023)
Yubo Zhang, Shuyi Ji, Changqing Zou, Xibin Zhao, Shihui Ying, Yue Gao
Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao
Hypergraph Isomorphism Computation. CoRR (2023)
Yaqian Guo, Xin Wang, Ce Li, Shihui Ying
Domain Adaptive Semantic Segmentation by Optimal Transport. CoRR (2023)
Hao Liu, Ce Li, Shangang Jin, Weizhe Gao, Fenghua Liu, Shaoyi Du, Shihui Ying
PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest. Comput. Vis. Image Underst. 232 (2023)
Lili Bao, Jiahao Lu, Shihui Ying, Stefan Sommer
Sliding at first order: Higher-order momentum distributions for discontinuous image registration. CoRR (2023)
Jie Hou, Zhiying Ma, Shihui Ying, Ying Li
HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations. CoRR (2023)
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification. CoRR (2023)
Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75 (2022)
Di Xiong, Shihui Ying, Hongtu Zhu
Intrinsic partial linear models for manifold-valued data. Inf. Process. Manag. 59 (4) (2022)
Yan Wang, Yining Zhao, Shihui Ying, Shaoyi Du, Yue Gao
Rotation-Invariant Point Cloud Representation for 3-D Model Recognition. IEEE Trans. Cybern. 52 (10) (2022)
Xin Wang, Zhiming Cai, Yixian Luo, Zhijie Wen, Shihui Ying
Long Time Series Deep Forecasting with Multiscale Feature Extraction and Seq2seq Attention Mechanism. Neural Process. Lett. 54 (4) (2022)
Shuyi Ji, Zizhao Zhang, Shihui Ying, Liejun Wang, Xibin Zhao, Yue Gao
Kullback-Leibler Divergence Metric Learning. IEEE Trans. Cybern. 52 (4) (2022)
Ronglin Gong, Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi
Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Jun Shi, Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Jun Wang, Shihui Ying
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. CoRR (2022)
Zhiyang Gao, Zhiyang Lu, Jun Wang, Shihui Ying, Jun Shi
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41 (8) (2022)
Shuailing Feng, Wen Huang, Lele Song, Shihui Ying, Tieyong Zeng
Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds. Optim. Lett. 16 (8) (2022)
Ying Li, Zuojia Zhou, Shihui Ying
DeLISA: Deep learning based iteration scheme approximation for solving PDEs. J. Comput. Phys. 451 (2022)
Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao
Deep Hypergraph Structure Learning. CoRR (2022)
Yulu Zhang, Shihui Ying, Zhijie Wen
Multitask transfer learning with kernel representation. Neural Comput. Appl. 34 (15) (2022)
Ronglin Gong, Shihui Ying, Jun Shi
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography. ICIP (2022)
Huili Zhang, Lehang Guo, Dan Wang, Jun Wang, Lili Bao, Shihui Ying, Huixiong Xu, Jun Shi
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 25 (10) (2021)
Zheng Li, Chaofeng Wang, Jun Wang, Shihui Ying, Jun Shi
Lightweight adaptive weighted network for single image super-resolution. Comput. Vis. Image Underst. 211 (2021)
Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities. Pattern Recognit. 120 (2021)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. CoRR (2020)
Yaxin Peng, Nijing Zhang, Ying Li, Shihui Ying
A Local-to-Global Metric Learning Framework From the Geometric Insight. IEEE Access 8 (2020)
Pengyu Yin, Di Wang, Shaoyi Du, Shihui Ying, Yue Gao, Nanning Zheng
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence. IROS (2020)
Lu Shen, Jun Shi, Yun Dong, Shihui Ying, Yaxin Peng, Lu Chen, Qi Zhang, Hedi An, Yingchun Zhang
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease. Cogn. Comput. 12 (3) (2020)
Xiaoyan Fei, Jun Wang, Shihui Ying, Zhongyi Hu, Jun Shi
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease. Neurocomputing 413 (2020)
Xin Wang, Xiaohuang Zhu, Shihui Ying, Chaomin Shen
An Accelerated and Robust Partial Registration Algorithm for Point Clouds. IEEE Access 8 (2020)
Shaorong Xie, Chao Pan, Yaxin Peng, Ke Liu, Shihui Ying
Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor. Sensors 20 (10) (2020)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. MICCAI (6) (2020)
Xiaoyan Fei, Lu Shen, Shihui Ying, Yehua Cai, Qi Zhang, Wentao Kong, Weijun Zhou, Jun Shi
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis. Cogn. Comput. 12 (6) (2020)
Xin Wang, Yun Li, Yaxin Peng, Shihui Ying
A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy. IEEE Access 8 (2020)
Junjie Zhu, Bingjun Luo, Sicheng Zhao, Shihui Ying, Xibin Zhao, Yue Gao
IExpressNet: Facial Expression Recognition with Incremental Classes. ACM Multimedia (2020)
Wei Wang, Zhijie Wen, Liyan Ma, Shihui Ying
Multi-metric Joint Discrimination Network for Few-Shot Classification. PRCV (3) (2020)
Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shihui Ying
Quaternion Grassmann average network for learning representation of histopathological image. Pattern Recognit. 89 (2019)
Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qingping Liu, Qi Zhang, Pingkun Yan
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng
Geometric Understanding for Unsupervised Subspace Learning. IJCAI (2019)
Lipeng Cai, Shihui Ying, Yaxin Peng, Changzhou He, Shaoyi Du
Intrinsic Metric Learning With Subspace Representation. IEEE Access 7 (2019)
Zhijie Wen, MingYang Sun, Ying Li, Shihui Ying, Yaxin Peng
Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification. ICRA (2019)
Ying Li, Lin Cheng, Yaxin Peng, Zhijie Wen, Shihui Ying
Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation. ICME (2019)
Bangming Gong, Jun Shi, Shihui Ying, Yakang Dai, Qi Zhang, Yun Dong, Hedi An, Yingchun Zhang
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine. Neurocomputing 320 (2018)
Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shihui Ying
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Shihui Ying, Zhijie Wen, Jun Shi, Yaxin Peng, Jigen Peng, Hong Qiao
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Yaru Zhan, Yanqin Bai, Wei Zhang, Shihui Ying
A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine. Neurocomputing 306 (2018)
Xin Li, Yanqin Bai, Yaxin Peng, Shaoyi Du, Shihui Ying
Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology. Int. J. Neural Syst. 28 (2) (2018)
Yaxin Peng, Lingfang Hu, Shihui Ying, Chaomin Shen
Global Nonlinear Metric Learning by Gluing Local Linear Metrics. SDM (2018)
Xiao Zheng, Jun Shi, Qi Zhang, Shihui Ying, Yan Li
Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm. ISBI (2017)
Jun Shi, Jinjie Wu, Yan Li, Qi Zhang, Shihui Ying
Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier. IEEE J. Biomed. Health Informatics 21 (5) (2017)
Chaofeng Wang, Jun Shi, Qi Zhang, Shihui Ying
Histopathological image classification with bilinear convolutional neural networks. EMBC (2017)
Shihui Ying, Yuanwei Wang, Zhijie Wen, Yuping Lin
Nonlinear 2D shape registration via thin-plate spline and Lie group representation. Neurocomputing 195 (2016)
Ce Li, Qiang Ma, Limei Xiao, Shihui Ying
An Image Copy Move Forgery Detection Method Using QDCT. ICIMCS (2016)
Xiao Zheng, Jun Shi, Shihui Ying, Qi Zhang, Yan Li
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework. MLMI@MICCAI (2016)
Shihui Ying, Han Qin, Yaxin Peng, Zhijie Wen
Compute Karcher means on SO(n) by the geometric conjugate gradient method. Neurocomputing 215 (2016)
Zhijie Wen, Zhuojun Li, Yaxin Peng, Shihui Ying
Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis. Pattern Recognit. Lett. 79 (2016)
Jinjie Wu, Jun Shi, Shihui Ying, Qi Zhang, Yan Li
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network. MLMI@MICCAI (2016)
Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen
Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set. NeuroImage 84 (2014)
Jianmin Dong, Yaxin Peng, Shihui Ying, Zhiyu Hu
LieTrICP: An improvement of trimmed iterative closest point algorithm. Neurocomputing 140 (2014)
Shihui Ying, Guorong Wu, Shu Liao, Dinggang Shen
Inter-group image registration by hierarchical graph shrinkage. ISBI (2013)
Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen
Groupwise Registration via Graph Shrinkage on the Image Manifold. CVPR (2013)
Yaxin Peng, Wei Lin, Shihui Ying, Jigen Peng
Soft shape registration under Lie group frame. IET Comput. Vis. 7 (6) (2013)
Shihui Ying, Yaxin Peng, Zhijie Wen
Iwasawa decomposition: a new approach to 2D affine registration problem. Pattern Anal. Appl. 14 (2) (2011)
Shaoyi Du, Nanning Zheng, Lei Xiong, Shihui Ying, Jianru Xue
Scaling iterative closest point algorithm for registration of m-D point sets. J. Vis. Commun. Image Represent. 21 (5-6) (2010)
Shaoyi Du, Nanning Zheng, Shihui Ying, Jianyi Liu
Affine iterative closest point algorithm for point set registration. Pattern Recognit. Lett. 31 (9) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shihui Ying