HCNM: Hierarchical cognitive neural model for small-sample image classification - Dequan Jin; Ruoge Li; Nan Xiang; Di Zhao; Xuanlu Xiang; Shihui Ying (Expert Syst. Appl., 2025)

Deep unfolding network with spatial alignment for multi-modal MRI reconstruction - Hao Zhang; Qi Wang; Jun Shi; Shihui Ying; Zhijie Wen (Medical Image Anal., 2025)

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation - Yifan Feng; Jiangang Huang; Shaoyi Du; Shihui Ying; Jun-Hai Yong; Yipeng Li; Guiguang Ding; Rongrong Ji; Yue Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification - Jiale Dun; Jun Wang; Juncheng Li; Qianhui Yang; Wenlong Hang; Xiaofeng Lu; Shihui Ying; Jun Shi (IEEE J. Biomed. Health Informatics, 2025)

Exploring Local and Global Consistent Correlation on Hypergraph for Rotation Invariant Point Cloud Analysis - Yue Dai; Shihui Ying; Yue Gao (IEEE Trans. Multim., 2025)

Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction - Hao Zhang; Qi Wang; Jian Sun; Zhijie Wen; Jun Shi; Shihui Ying (CoRR, 2025)

Open set label noise learning with robust sample selection and margin-guided module - Yuandi Zhao; Qianxi Xia; Yang Sun; Zhijie Wen; Liyan Ma; Shihui Ying (CoRR, 2025)

LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation - Shengdong Zhang; Fan Jia; Xiang Li; Hao Zhang; Jun Shi; Liyan Ma; Shihui Ying (CoRR, 2025)

A fine-grained orthodontics segmentation model for 3D intraoral scan data - Juncheng Li; Bodong Cheng; Najun Niu; Guangwei Gao; Shihui Ying; Jun Shi; Tieyong Zeng (Comput. Biol. Medicine, 2024)

B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion - Xiao Wang; Xinping Ren; Ge Jin; Shihui Ying; Jun Wang; Juncheng Li; Jun Shi (Comput. Biol. Medicine, 2024)

Time multiscale regularization for nonlinear image registration - Lili Bao; Ke Chen; Dexing Kong; Shihui Ying; Tieyong Zeng (Comput. Medical Imaging Graph., 2024)

Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations - Dinglei Zhang; Ying Li; Shihui Ying (Comput. Phys. Commun., 2024)

Intrinsic semi-parametric regression model on Grassmannian manifolds with applications - Xuanxuan Sheng; Di Xiong; Shihui Ying (Commun. Stat. Simul. Comput., 2024)

Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images - Huili Zhang; Lehang Guo; Juncheng Li; Jun Wang; Shihui Ying; Jun Shi (Inf. Process. Manag., 2024)

Hypergraph Isomorphism Computation - Yifan Feng; Jiashu Han; Shihui Ying; Yue Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution - Le Jiang; Liyan Ma; Tieyong Zeng; Shihui Ying (Patterns, 2024)

Self-adaptive subspace representation from a geometric intuition - Lipeng Cai; Jun Shi; Shaoyi Du; Yue Gao; Shihui Ying (Pattern Recognit., 2024)

Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration - Lili Bao; Jiahao Lu; Shihui Ying; Stefan Sommer (SIAM J. Imaging Sci., 2024)

Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model - Chong Deng; Xin-Jian Xu; Shihui Ying (IEEE Trans. Inf. Theory, 2024)

Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image - Huili Zhang; Lehang Guo; Jun Wang; Shihui Ying; Jun Shi (IEEE J. Biomed. Health Informatics, 2024)

FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment - Xuanmin Chen; Liyan Ma; Shihui Ying; Dinggang Shen; Tieyong Zeng (IEEE J. Biomed. Health Informatics, 2024)

OTCLDA: Optimal Transport and Contrastive Learning for Domain Adaptive Semantic Segmentation - Qizhe Fan; Xiaoqin Shen; Shihui Ying; Shaoyi Du (IEEE Trans. Intell. Transp. Syst., 2024)

Penalized Flow Hypergraph Local Clustering - Hao Zhong; Yubo Zhang; Chenggang Yan; Zuxing Xuan; Ting Yu; Ji Zhang; Shihui Ying; Yue Gao (IEEE Trans. Knowl. Data Eng., 2024)

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images - Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Juncheng Li; Jun Wang; Shihui Ying; Jun Shi (IEEE Trans. Medical Imaging, 2024)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images - Jian Wang; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang; Juncheng Li; Shihui Ying; Cai Chang; Jun Shi (IEEE Trans. Medical Imaging, 2024)

Histopathology Image Classification With Noisy Labels via The Ranking Margins - Zhijie Wen; Haixia Wu; Shihui Ying (IEEE Trans. Medical Imaging, 2024)

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction - Qi Wang; Zhijie Wen; Jun Shi; Qian Wang; Dinggang Shen; Shihui Ying (IEEE Trans. Medical Imaging, 2024)

Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification - Saisai Ding; Juncheng Li; Jun Wang; Shihui Ying; Jun Shi (IEEE Trans. Medical Imaging, 2024)

LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference - Yifan Feng; Yihe Luo; Shihui Ying; Yue Gao (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Hypergraph Dynamic System - Jielong Yan; Yifan Feng; Shihui Ying; Yue Gao (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Cross-Evaluation and Re-weighting for Multi-Source-Free Domain Adaptation - Bingxin Li; Ying Li; Shihui Ying (IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, 2024)

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation - Yifan Feng; Jiangang Huang; Shaoyi Du; Shihui Ying; Jun-Hai Yong; Yipeng Li; Guiguang Ding; Rongrong Ji; Yue Gao (CoRR, 2024)

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? - Yifan Feng; Chengwu Yang; Xingliang Hou; Shaoyi Du; Shihui Ying; Zongze Wu; Yue Gao (CoRR, 2024)

Iterative optimization method for determining optimal shape parameter in RBF-FD method - Jie Hou; Ying Li; Shihui Ying (Appl. Math. Lett., 2023)

PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest - Hao Liu; Ce Li; Shangang Jin; Weizhe Gao; Fenghua Liu; Shaoyi Du; Shihui Ying (Comput. Vis. Image Underst., 2023)

JSMix: a holistic algorithm for learning with label noise - Zhijie Wen; Hui Xu; Shihui Ying (Neural Comput. Appl., 2023)

GAME: GAussian Mixture Error-based meta-learning architecture - Jinhe Dong; Jun Shi; Yue Gao; Shihui Ying (Neural Comput. Appl., 2023)

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning - Xiangmin Han; Bangming Gong; Lehang Guo; Jun Wang; Shihui Ying; Shuo Li; Jun Shi (Neural Networks, 2023)

Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior - Ying Li; Yanan Zhu; Shihui Ying (Neural Process. Lett., 2023)

Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution - Yubo Zhang; Shuyi Ji; Changqing Zou; Xibin Zhao; Shihui Ying; Yue Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Structure Evolution on Manifold for Graph Learning - Hai Wan; Xinwei Zhang; Yubo Zhang; Xibin Zhao; Shihui Ying; Yue Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis - Xiangmin Han; Jun Wang; Shihui Ying; Jun Shi; Dinggang Shen (Pattern Recognit., 2023)

Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images - Huili Zhang; Lehang Guo; Jun Wang; Shihui Ying; Jun Shi (IEEE J. Biomed. Health Informatics, 2023)

Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net - Zheng Li; Shihui Ying; Jun Wang; Hongjian He; Jun Shi (IEEE J. Biomed. Health Informatics, 2023)

Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images - Zhiyang Lu; Jian Wang; Zheng Li; Shihui Ying; Jun Wang; Jun Shi; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification - Saisai Ding; Juncheng Li; Jun Wang; Shihui Ying; Jun Shi (IEEE J. Biomed. Health Informatics, 2023)

A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy - Dequan Jin; Murong Yang; Ziyan Qin; Jigen Peng; Shihui Ying (IEEE Trans. Neural Networks Learn. Syst., 2023)

CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence - Pengyu Yin; Di Wang; Shaoyi Du; Shihui Ying; Yue Gao; Nanning Zheng (CoRR, 2023)

Sliding at first order: Higher-order momentum distributions for discontinuous image registration - Lili Bao; Jiahao Lu; Shihui Ying; Stefan Sommer (CoRR, 2023)

Domain Adaptive Semantic Segmentation by Optimal Transport - Yaqian Guo; Xin Wang; Ce Li; Shihui Ying (CoRR, 2023)

Fast MRI Reconstruction via Edge Attention - Hanhui Yang; Juncheng Li; Lok Ming Lui; Shihui Ying; Jun Shi; Tieyong Zeng (CoRR, 2023)

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction - Qi Wang; Zhijie Wen; Jun Shi; Qian Wang; Dinggang Shen; Shihui Ying (CoRR, 2023)

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification - Saisai Ding; Juncheng Li; Jun Wang; Shihui Ying; Jun Shi (CoRR, 2023)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images - Jian Wang; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang; Juncheng Li; Shihui Ying; Cai Chang; Jun Shi (CoRR, 2023)

Hypergraph Isomorphism Computation - Yifan Feng; Jiashu Han; Shihui Ying; Yue Gao (CoRR, 2023)

Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model - Chong Deng; Xin-Jian Xu; Shihui Ying (CoRR, 2023)

HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations - Jie Hou; Zhiying Ma; Shihui Ying; Ying Li (CoRR, 2023)

UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution - Le Jiang; Liyan Ma; Tieyong Zeng; Shihui Ying (CoRR, 2023)

Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction - Hao Zhang; Qi Wang; Jun Shi; Shihui Ying; Zhijie Wen (CoRR, 2023)

Intrinsic partial linear models for manifold-valued data - Di Xiong; Shihui Ying; Hongtu Zhu (Inf. Process. Manag., 2022)

DeLISA: Deep learning based iteration scheme approximation for solving PDEs - Ying Li; Zuojia Zhou; Shihui Ying (J. Comput. Phys., 2022)

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition - Jun Wang; Fengyexin Zhang; Xiuyi Jia; Xin Wang; Han Zhang; Shihui Ying; Qian Wang; Jun Shi; Dinggang Shen (Medical Image Anal., 2022)

Multitask transfer learning with kernel representation - Yulu Zhang; Shihui Ying; Zhijie Wen (Neural Comput. Appl., 2022)

Long Time Series Deep Forecasting with Multiscale Feature Extraction and Seq2seq Attention Mechanism - Xin Wang; Zhiming Cai; Yixian Luo; Zhijie Wen; Shihui Ying (Neural Process. Lett., 2022)

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds - Shuailing Feng; Wen Huang; Lele Song; Shihui Ying; Tieyong Zeng (Optim. Lett., 2022)

Kullback-Leibler Divergence Metric Learning - Shuyi Ji; Zizhao Zhang; Shihui Ying; Liejun Wang; Xibin Zhao; Yue Gao (IEEE Trans. Cybern., 2022)

Rotation-Invariant Point Cloud Representation for 3-D Model Recognition - Yan Wang; Yining Zhao; Shihui Ying; Shaoyi Du; Yue Gao (IEEE Trans. Cybern., 2022)

A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images - Zhiyang Gao; Zhiyang Lu; Jun Wang; Shihui Ying; Jun Shi (IEEE J. Biomed. Health Informatics, 2022)

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis - Ronglin Gong; Xiangmin Han; Jun Wang; Shihui Ying; Jun Shi (IEEE J. Biomed. Health Informatics, 2022)

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities - Xiangmin Han; Xiaoyan Fei; Jun Wang; Tao Zhou; Shihui Ying; Jun Shi; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography - Ronglin Gong; Shihui Ying; Jun Shi (2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022, 2022)

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images - Jun Shi; Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Jun Wang; Shihui Ying (CoRR, 2022)

Deep Hypergraph Structure Learning - Zizhao Zhang; Yifan Feng; Shihui Ying; Yue Gao (CoRR, 2022)

Lightweight adaptive weighted network for single image super-resolution - Zheng Li; Chaofeng Wang; Jun Wang; Shihui Ying; Jun Shi (Comput. Vis. Image Underst., 2021)

Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities - Xiaoyan Fei; Shichong Zhou; Xiangmin Han; Jun Wang; Shihui Ying; Cai Chang; Weijun Zhou; Jun Shi (Pattern Recognit., 2021)

GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation - Zhijie Wen; Ru Feng; Jingxin Liu; Ying Li; Shihui Ying (IEEE J. Biomed. Health Informatics, 2021)

Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers - Huili Zhang; Lehang Guo; Dan Wang; Jun Wang; Lili Bao; Shihui Ying; Huixiong Xu; Jun Shi (IEEE J. Biomed. Health Informatics, 2021)

A Local-to-Global Metric Learning Framework From the Geometric Insight - Yaxin Peng; Nijing Zhang; Ying Li; Shihui Ying (IEEE Access, 2020)

A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy - Xin Wang; Yun Li; Yaxin Peng; Shihui Ying (IEEE Access, 2020)

An Accelerated and Robust Partial Registration Algorithm for Point Clouds - Xin Wang; Xiaohuang Zhu; Shihui Ying; Chaomin Shen (IEEE Access, 2020)

An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease - Lu Shen; Jun Shi; Yun Dong; Shihui Ying; Yaxin Peng; Lu Chen; Qi Zhang; Hedi An; Yingchun Zhang (Cogn. Comput., 2020)

Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis - Xiaoyan Fei; Lu Shen; Shihui Ying; Yehua Cai; Qi Zhang; Wentao Kong; Weijun Zhou; Jun Shi (Cogn. Comput., 2020)

Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease - Xiaoyan Fei; Jun Wang; Shihui Ying; Zhongyi Hu; Jun Shi (Neurocomputing, 2020)

Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor - Shaorong Xie; Chao Pan; Yaxin Peng; Ke Liu; Shihui Ying (Sensors, 2020)

CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence - Pengyu Yin; Di Wang; Shaoyi Du; Shihui Ying; Yue Gao; Nanning Zheng (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities - Xiangmin Han; Jun Wang; Weijun Zhou; Cai Chang; Shihui Ying; Jun Shi (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI, 2020)

IExpressNet: Facial Expression Recognition with Incremental Classes - Junjie Zhu; Bingjun Luo; Sicheng Zhao; Shihui Ying; Xibin Zhao; Yue Gao (MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020, 2020)

Multi-metric Joint Discrimination Network for Few-Shot Classification - Wei Wang; Zhijie Wen; Liyan Ma; Shihui Ying (Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III, 2020)

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities - Xiangmin Han; Jun Wang; Weijun Zhou; Cai Chang; Shihui Ying; Jun Shi (CoRR, 2020)

Intrinsic Metric Learning With Subspace Representation - Lipeng Cai; Shihui Ying; Yaxin Peng; Changzhou He; Shaoyi Du (IEEE Access, 2019)

Quaternion Grassmann average network for learning representation of histopathological image - Jun Shi; Xiao Zheng; Jinjie Wu; Bangming Gong; Qi Zhang; Shihui Ying (Pattern Recognit., 2019)

MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection - Jun Shi; Zheng Li; Shihui Ying; Chaofeng Wang; Qingping Liu; Qi Zhang; Pingkun Yan (IEEE J. Biomed. Health Informatics, 2019)

Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation - Ying Li; Lin Cheng; Yaxin Peng; Zhijie Wen; Shihui Ying (IEEE International Conference on Multimedia and Expo, ICME 2019, Shanghai, China, July 8-12, 2019, 2019)

Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification - Zhijie Wen; Mingyang Sun; Ying Li; Shihui Ying; Yaxin Peng (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Geometric Understanding for Unsupervised Subspace Learning - Shihui Ying; Lipeng Cai; Changzhou He; Yaxin Peng (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology - Xin Li; Yanqin Bai; Yaxin Peng; Shaoyi Du; Shihui Ying (Int. J. Neural Syst., 2018)

A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine - Yaru Zhan; Yanqin Bai; Wei Zhang; Shihui Ying (Neurocomputing, 2018)

Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine - Bangming Gong; Jun Shi; Shihui Ying; Yakang Dai; Qi Zhang; Yun Dong; Hedi An; Yingchun Zhang (Neurocomputing, 2018)

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease - Jun Shi; Xiao Zheng; Yan Li; Qi Zhang; Shihui Ying (IEEE J. Biomed. Health Informatics, 2018)

Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning - Shihui Ying; Zhijie Wen; Jun Shi; Yaxin Peng; Jigen Peng; Hong Qiao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Global Nonlinear Metric Learning by Gluing Local Linear Metrics - Yaxin Peng; Lingfang Hu; Shihui Ying; Chaomin Shen (Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA, 2018)

Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier - Jun Shi; Jinjie Wu; Yan Li; Qi Zhang; Shihui Ying (IEEE J. Biomed. Health Informatics, 2017)

Histopathological image classification with bilinear convolutional neural networks - Chaofeng Wang; Jun Shi; Qi Zhang; Shihui Ying (2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017, 2017)

Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm - Xiao Zheng; Jun Shi; Qi Zhang; Shihui Ying; Yan Li (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Nonlinear 2D shape registration via thin-plate spline and Lie group representation - Shihui Ying; Yuanwei Wang; Zhijie Wen; Yuping Lin (Neurocomputing, 2016)

Compute Karcher means on SO(n) by the geometric conjugate gradient method - Shihui Ying; Han Qin; Yaxin Peng; Zhijie Wen (Neurocomputing, 2016)

Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis - Zhijie Wen; Zhuojun Li; Yaxin Peng; Shihui Ying (Pattern Recognit. Lett., 2016)

An Image Copy Move Forgery Detection Method Using QDCT - Ce Li; Qiang Ma; Limei Xiao; Shihui Ying (Proceedings of the International Conference on Internet Multimedia Computing and Service, ICIMCS 2016, Xi'an, China, August 19 - 21, 2016, 2016)

Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework - Xiao Zheng; Jun Shi; Shihui Ying; Qi Zhang; Yan Li (Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings, 2016)

Learning Representation for Histopathological Image with Quaternion Grassmann Average Network - Jinjie Wu; Jun Shi; Shihui Ying; Qi Zhang; Yan Li (Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings, 2016)

LieTrICP: An improvement of trimmed iterative closest point algorithm - Jianmin Dong; Yaxin Peng; Shihui Ying; Zhiyu Hu (Neurocomputing, 2014)

Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set - Shihui Ying; Guorong Wu; Qian Wang; Dinggang Shen (NeuroImage, 2014)

Soft shape registration under Lie group frame - Yaxin Peng; Wei Lin; Shihui Ying; Jigen Peng (IET Comput. Vis., 2013)

Groupwise Registration via Graph Shrinkage on the Image Manifold - Shihui Ying; Guorong Wu; Qian Wang; Dinggang Shen (2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013, 2013)

Inter-group image registration by hierarchical graph shrinkage - Shihui Ying; Guorong Wu; Shu Liao; Dinggang Shen (10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7-11 April, 2013, San Francisco, CA, USA, Proceedings, 2013)

Iwasawa decomposition: a new approach to 2D affine registration problem - Shihui Ying; Yaxin Peng; Zhijie Wen (Pattern Anal. Appl., 2011)

Lie group method: A new approach to image matching with arbitrary orientations - Shihui Ying; Hong Qiao (Int. J. Imaging Syst. Technol., 2010)

Scaling iterative closest point algorithm for registration of m-D point sets - Shaoyi Du; Nanning Zheng; Lei Xiong; Shihui Ying; Jianru Xue (J. Vis. Commun. Image Represent., 2010)

Affine iterative closest point algorithm for point set registration - Shaoyi Du; Nanning Zheng; Shihui Ying; Jianyi Liu (Pattern Recognit. Lett., 2010)

A New Approach to Weighted Graph Matching - Kai-Jie Zheng; Jigen Peng; Shihui Ying (IEICE Trans. Inf. Syst., 2009)

Lie Group Framework of Iterative Closest Point Algorithm for n-d Data Registration - Shihui Ying; Jigen Peng; Shaoyi Du; Hong Qiao (Int. J. Pattern Recognit. Artif. Intell., 2009)

A Scale Stretch Method Based on ICP for 3D Data Registration - Shihui Ying; Jigen Peng; Shaoyi Du; Hong Qiao (IEEE Trans Autom. Sci. Eng., 2009)

AN Extension of the ICP Algorithm Considering Scale Factor - Shaoyi Du; Nanning Zheng; Shihui Ying; Qubo You; Yang Wu (Proceedings of the International Conference on Image Processing, ICIP 2007, September 16-19, 2007, San Antonio, Texas, USA, 2007)

ICP with Bounded Scale for Registration of M-D Point Sets - Shaoyi Du; Nanning Zheng; Shihui Ying; Jishang Wei (Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007, July 2-5, 2007, Beijing, China, 2007)