AN Extension of the ICP Algorithm Considering Scale Factor. - Shaoyi Du; Nanning Zheng 001; Shihui Ying; Qubo You; Yang Wu 001 (ICIP (5), 2007)

ICP with Bounded Scale for Registration of M-D Point Sets. - Shaoyi Du; Nanning Zheng 001; Shihui Ying; Jishang Wei (ICME, 2007)

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)

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 001; 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 001; Shihui Ying; Jianyi Liu (Pattern Recognit. Lett., 2010)

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

Groupwise Registration via Graph Shrinkage on the Image Manifold. - Shihui Ying; Guorong Wu 001; Qian Wang 001; Dinggang Shen (CVPR, 2013)

Inter-group image registration by hierarchical graph shrinkage. - Shihui Ying; Guorong Wu 001; Shu Liao; Dinggang Shen (ISBI, 2013)

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

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 001; Qian Wang 001; Dinggang Shen (NeuroImage, 2014)

An Image Copy Move Forgery Detection Method Using QDCT. - Ce Li 001; Qiang Ma 008; Limei Xiao; Shihui Ying (ICIMCS, 2016)

Learning Representation for Histopathological Image with Quaternion Grassmann Average Network. - Jinjie Wu; Jun Shi 004; Shihui Ying; Qi Zhang 003; Yan Li 066 (MLMI@MICCAI, 2016)

Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework. - Xiao Zheng; Jun Shi 004; Shihui Ying; Qi Zhang 003; Yan Li 066 (MLMI@MICCAI, 2016)

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

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

Histopathological image classification with bilinear convolutional neural networks. - Chaofeng Wang; Jun Shi 004; Qi Zhang 003; Shihui Ying (EMBC, 2017)

Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm. - Xiao Zheng; Jun Shi 004; Qi Zhang 003; Shihui Ying; Yan Li 066 (ISBI, 2017)

Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier. - Jun Shi 004; Jinjie Wu; Yan Li 066; Qi Zhang 003; Shihui Ying (IEEE J. Biomed. Health Informatics, 2017)

Global Nonlinear Metric Learning by Gluing Local Linear Metrics. - Yaxin Peng; Lingfang Hu; Shihui Ying; Chaomin Shen 001 (SDM, 2018)

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)

Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine. - Bangming Gong; Jun Shi 004; Shihui Ying; Yakang Dai; Qi Zhang 003; Yun Dong; Hedi An; Yingchun Zhang (Neurocomputing, 2018)

A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine. - Yaru Zhan; Yanqin Bai; Wei Zhang 172; Shihui Ying (Neurocomputing, 2018)

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease. - Jun Shi 004; Xiao Zheng; Yan Li 066; Qi Zhang 003; Shihui Ying (IEEE J. Biomed. Health Informatics, 2018)

Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. - Shihui Ying; Zhijie Wen; Jun Shi 004; Yaxin Peng; Jigen Peng; Hong Qiao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation. - Ying Li 028; Lin Cheng; Yaxin Peng; Zhijie Wen; Shihui Ying (ICME, 2019)

Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification. - Zhijie Wen; Mingyang Sun; Ying Li 028; Shihui Ying; Yaxin Peng (ICRA, 2019)

Geometric Understanding for Unsupervised Subspace Learning. - Shihui Ying; Lipeng Cai; Changzhou He; Yaxin Peng (IJCAI, 2019)

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 004; Xiao Zheng; Jinjie Wu; Bangming Gong; Qi Zhang 003; Shihui Ying (Pattern Recognit., 2019)

MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection. - Jun Shi 004; Zheng Li; Shihui Ying; Chaofeng Wang; Qingping Liu; Qi Zhang 003; Pingkun Yan (IEEE J. Biomed. Health Informatics, 2019)

CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence. - Pengyu Yin; Di Wang 028; Shaoyi Du; Shihui Ying; Yue Gao 002; Nanning Zheng 001 (IROS, 2020)

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. - Xiangmin Han; Jun Wang 024; Weijun Zhou; Cai Chang; Shihui Ying; Jun Shi 004 (MICCAI (6), 2020)

IExpressNet: Facial Expression Recognition with Incremental Classes. - Junjie Zhu; Bingjun Luo; Sicheng Zhao; Shihui Ying; Xibin Zhao; Yue Gao 002 (ACM Multimedia, 2020)

Multi-metric Joint Discrimination Network for Few-Shot Classification. - Wei Wang; Zhijie Wen; Liyan Ma; Shihui Ying (PRCV (3), 2020)

A Local-to-Global Metric Learning Framework From the Geometric Insight. - Yaxin Peng; Nijing Zhang; Ying Li 028; Shihui Ying (IEEE Access, 2020)

A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy. - Xin Wang 084; Yun Li; Yaxin Peng; Shihui Ying (IEEE Access, 2020)

An Accelerated and Robust Partial Registration Algorithm for Point Clouds. - Xin Wang 084; Xiaohuang Zhu; Shihui Ying; Chaomin Shen 001 (IEEE Access, 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 003; Wentao Kong; Weijun Zhou; Jun Shi 004 (Cogn. Comput., 2020)

An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease. - Lu Shen; Jun Shi 004; Yun Dong; Shihui Ying; Yaxin Peng; Lu Chen; Qi Zhang 003; Hedi An; Yingchun Zhang (Cogn. Comput., 2020)

Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease. - Xiaoyan Fei; Jun Wang 024; Shihui Ying; Zhongyi Hu 001; Jun Shi 004 (Neurocomputing, 2020)

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

Lightweight adaptive weighted network for single image super-resolution. - Zheng Li; Chaofeng Wang; Jun Wang 024; Shihui Ying; Jun Shi 004 (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 024; Shihui Ying; Cai Chang; Weijun Zhou; Jun Shi 004 (Pattern Recognit., 2021)

GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. - Zhijie Wen; Ru Feng; Jingxin Liu; Ying Li 028; 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 024; Lili Bao; Shihui Ying; Huixiong Xu; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2021)

Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography. - Ronglin Gong; Shihui Ying; Jun Shi 004 (ICIP, 2022)

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. - Jun Shi 004; Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Jun Wang 024; Shihui Ying (CoRR, 2022)

Deep Hypergraph Structure Learning. - Zizhao Zhang; Yifan Feng 001; Shihui Ying; Yue Gao 002 (CoRR, 2022)

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 028; 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 024; Fengyexin Zhang; Xiuyi Jia; Xin Wang 084; Han Zhang 002; Shihui Ying; Qian Wang 001; Jun Shi 004; 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 084; 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 002 (IEEE Trans. Cybern., 2022)

Rotation-Invariant Point Cloud Representation for 3-D Model Recognition. - Yan Wang 076; Yining Zhao; Shihui Ying; Shaoyi Du; Yue Gao 002 (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 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis. - Ronglin Gong; Xiangmin Han; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. - Xiangmin Han; Xiaoyan Fei; Jun Wang 024; Tao Zhou 002; Shihui Ying; Jun Shi 004; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Domain Adaptive Semantic Segmentation by Optimal Transport. - Yaqian Guo; Xin Wang 084; Ce Li 001; Shihui Ying (CoRR, 2023)

Fast MRI Reconstruction via Edge Attention. - Hanhui Yang; Juncheng Li 003; Lok Ming Lui; Shihui Ying; Jun Shi 004; Tieyong Zeng (CoRR, 2023)

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification. - Saisai Ding; Juncheng Li 013; Jun Wang 024; Shihui Ying; Jun Shi 004 (CoRR, 2023)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images. - Jian Wang 135; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang 024; Juncheng Li 013; Shihui Ying; Cai Chang; Jun Shi 004 (CoRR, 2023)

HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations. - Jie Hou 005; Zhiying Ma; Shihui Ying; Ying Li 028 (CoRR, 2023)

JSMix: a holistic algorithm for learning with label noise. - Zhijie Wen; Hui Xu; Shihui Ying (Neural Comput. Appl., 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 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. - Xiangmin Han; Jun Wang 024; Shihui Ying; Jun Shi 004; 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 024; Shihui Ying; Jun Shi 004 (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)

Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. - Zheng Li; Shihui Ying; Jun Wang 024; Hongjian He; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

Structure Evolution on Manifold for Graph Learning. - Hai Wan; Xinwei Zhang; Yubo Zhang; Xibin Zhao; Shihui Ying; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest. - Hao Liu 060; Ce Li 001; Shangang Jin; Weizhe Gao; Fenghua Liu; Shaoyi Du; Shihui Ying (Comput. Vis. Image Underst., 2023)

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. - Xiangmin Han; Bangming Gong; Lehang Guo; Jun Wang 024; Shihui Ying; Shuo Li 001; Jun Shi 004 (Neural Networks, 2023)

Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. - Zhiyang Lu; Jian Wang 135; Zheng Li; Shihui Ying; Jun Wang 024; Jun Shi 004; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

GAME: GAussian Mixture Error-based meta-learning architecture. - Jinhe Dong; Jun Shi 004; Yue Gao 002; Shihui Ying (Neural Comput. Appl., 2023)

Iterative optimization method for determining optimal shape parameter in RBF-FD method. - Jie Hou 005; Ying Li 028; Shihui Ying (Appl. Math. Lett., 2023)

Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior. - Ying Li 028; Yanan Zhu; Shihui Ying (Neural Process. Lett., 2023)

Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. - Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference. - Yifan Feng 001; Yihe Luo; Shihui Ying; Yue Gao 002 (ICLR, 2024)

Hypergraph Dynamic System. - Jielong Yan; Yifan Feng 001; Shihui Ying; Yue Gao 002 (ICLR, 2024)

Cross-Evaluation and Re-weighting for Multi-Source-Free Domain Adaptation. - Bingxin Li; Ying Li 028; Shihui Ying (ICME, 2024)

B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion. - Xiao Wang; Xinping Ren; Ge Jin 002; Shihui Ying; Jun Wang 024; Juncheng Li 003; Jun Shi 004 (Comput. Biol. Medicine, 2024)

Time multiscale regularization for nonlinear image registration. - Lili Bao; Ke Chen 002; 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 028; Shihui Ying (Comput. Phys. Commun., 2024)

Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. - Huili Zhang; Lehang Guo; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (Inf. Process. Manag., 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 004; Shaoyi Du; Yue Gao 002; 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)

A fine-grained orthodontics segmentation model for 3D intraoral scan data. - Juncheng Li 003; Bodong Cheng; Najun Niu; Guangwei Gao; Shihui Ying; Jun Shi 004; Tieyong Zeng (Comput. Biol. Medicine, 2024)

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. - Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Hypergraph Isomorphism Computation. - Yifan Feng 001; Jiashu Han; Shihui Ying; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Penalized Flow Hypergraph Local Clustering. - Hao Zhong; Yubo Zhang; Chenggang Yan 001; Zuxing Xuan; Ting Yu 004; Ji Zhang 001; Shihui Ying; Yue Gao 002 (IEEE Trans. Knowl. Data Eng., 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 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2024)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. - Jian Wang 135; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang 024; Juncheng Li 003; Shihui Ying; Cai Chang; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

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

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

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)

Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification. - Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. - Qi Wang; Zhijie Wen; Jun Shi 004; Qian Wang 001; Dinggang Shen; Shihui Ying (IEEE Trans. Medical Imaging, 2024)

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? - Yifan Feng 001; Chengwu Yang; Xingliang Hou; Shaoyi Du; Shihui Ying; Zongze Wu 001; Yue Gao 002 (ICLR, 2025)

Dual-Domain Spatial-Temporal reconstruction network for reconstruction of cine CMR. - Jingbo He; Bo Peng 008; Shihui Ying; Juncheng Li 013; Yakang Dai; Jun Shi 004 (Biomed. Signal Process. Control., 2025)

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)

Multi-resolution based dual-channel UNet with cross clique for medical image dense prediction. - Xueying Zhou; Ge Jin 002; Yang Liu; Juncheng Li 003; Jun Wang 024; Shihui Ying; Yanyan Zheng; Jun Shi 004 (Expert Syst. Appl., 2025)

RGB-D Domain adaptive semantic segmentation with cross-modality feature recalibration. - Qizhe Fan; Xiaoqin Shen; Shihui Ying; Juan Wang; Shaoyi Du (Inf. Fusion, 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 (Knowl. Based Syst., 2025)

HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction. - Saisai Ding; Linjin Li; Ge Jin 002; Jun Wang 024; Shihui Ying; Jun Shi 004 (Medical Image Anal., 2025)

LMS-Net: A learned Mumford-Shah network for binary few-shot medical image segmentation. - Shengdong Zhang; Fan Jia; Xiang Li; Hao Zhang; Jun Shi 004; Liyan Ma; Shihui Ying (Medical Image Anal., 2025)

Deep unfolding network with spatial alignment for multi-modal MRI reconstruction. - Hao Zhang; Qi Wang; Jun Shi 004; Shihui Ying; Zhijie Wen (Medical Image Anal., 2025)

Exploring Local and Global Consistent Correlation on Hypergraph for Rotation Invariant Point Cloud Analysis. - Yue Dai 003; Shihui Ying; Yue Gao 002 (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 004; Shihui Ying (CoRR, 2025)

A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification. - Jiale Dun; Jun Wang 024; Juncheng Li 003; Qianhui Yang; Wenlong Hang; Xiaofeng Lu; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2025)

LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation. - Shengdong Zhang; Fan Jia; Xiang Li; Hao Zhang; Jun Shi 004; Liyan Ma; Shihui Ying (CoRR, 2025)

Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation. - Murong Yang; Shihui Ying; Xin-Jian Xu; Yue Gao 002 (CoRR, 2025)

Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification. - Murong Yang; Shihui Ying; Xin-Jian Xu (CoRR, 2025)

Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation. - Yifan Feng 001; Hao Hu; Xingliang Hou; Shiquan Liu; Shihui Ying; Shaoyi Du; Han Hu 003; Yue Gao 002 (CoRR, 2025)

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. - Yifan Feng 001; Jiangang Huang; Shaoyi Du; Shihui Ying; Jun-Hai Yong; Yipeng Li; Guiguang Ding; Rongrong Ji; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Multiview Representation Learning With One-to-Many Dynamic Relationships. - Dan Li; Haibao Wang; Shihui Ying (IEEE Trans. Neural Networks Learn. Syst., 2025)

Mode Hypergraph Neural Network. - Shuyi Ji; Yifan Feng 001; Donglin Di; Shihui Ying; Yue Gao 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-task dynamic graph learning for brain disorder identification with functional MRI. - Yunling Ma; Chaojun Zhang; Di Xiong; Han Zhang 002; Shihui Ying (Pattern Recognit., 2026)