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2020 – today
- 2025
[j76]Hao Zhang, Qi Wang, Jun Shi
, Shihui Ying, Zhijie Wen:
Deep unfolding network with spatial alignment for multi-modal MRI reconstruction. Medical Image Anal. 99: 103331 (2025)- 2024
- [j75]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: 107821 (2024) - [j74]Xiao Wang, Xinping Ren, Ge Jin, Shihui Ying, Jun Wang, Juncheng Li, Jun Shi:
B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion. Comput. Biol. Medicine 182: 109106 (2024) - [j73]Lili Bao, Ke Chen, Dexing Kong, Shihui Ying, Tieyong Zeng:
Time multiscale regularization for nonlinear image registration. Comput. Medical Imaging Graph. 112: 102331 (2024) - [j72]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: 109130 (2024) - [j71]Xuanxuan Sheng, Di Xiong, Shihui Ying:
Intrinsic semi-parametric regression model on Grassmannian manifolds with applications. Commun. Stat. Simul. Comput. 53(8): 3830-3849 (2024) - [j70]Huili Zhang, Lehang Guo, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. Inf. Process. Manag. 61(6): 103855 (2024) - [j69]Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3880-3896 (2024) - [j68]Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying:
UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution. Patterns 5(2): 100917 (2024) - [j67]Lipeng Cai, Jun Shi, Shaoyi Du, Yue Gao, Shihui Ying:
Self-adaptive subspace representation from a geometric intuition. Pattern Recognit. 149: 110228 (2024) - [j66]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): 861-887 (2024) - [j65]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): 1962-1977 (2024) - [j64]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): 4393-4394 (2024) - [j63]Qizhe Fan, Xiaoqin Shen, Shihui Ying, Shaoyi Du:
OTCLDA: Optimal Transport and Contrastive Learning for Domain Adaptive Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 25(10): 14685-14697 (2024) - [j62]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): 2110-2125 (2024) - [j61]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): 902-915 (2024) - [j60]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): 2509-2521 (2024) - [j59]Zhijie Wen, Haixia Wu, Shihui Ying:
Histopathology Image Classification With Noisy Labels via The Ranking Margins. IEEE Trans. Medical Imaging 43(8): 2790-2802 (2024) - [c21]Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao:
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference. ICLR 2024 - [c20]Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao:
Hypergraph Dynamic System. ICLR 2024 - [c19]Bingxin Li, Ying Li, Shihui Ying:
Cross-Evaluation and Re-weighting for Multi-Source-Free Domain Adaptation. ICME 2024: 1-6 - [i16]Yifan Feng, Jiangang Huang, Shaoyi Du, Shihui Ying, Jun-Hai Yong, Yipeng Li, Guiguang Ding, Rongrong Ji, Yue Gao:
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. CoRR abs/2408.04804 (2024) - 2023
- [j58]Jie Hou, Ying Li, Shihui Ying:
Iterative optimization method for determining optimal shape parameter in RBF-FD method. Appl. Math. Lett. 145: 108736 (2023) - [j57]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: 103695 (2023) - [j56]Zhijie Wen, Hui Xu, Shihui Ying:
JSMix: a holistic algorithm for learning with label noise. Neural Comput. Appl. 35(2): 1519-1533 (2023) - [j55]Jinhe Dong, Jun Shi, Yue Gao, Shihui Ying:
GAME: GAussian Mixture Error-based meta-learning architecture. Neural Comput. Appl. 35(28): 20445-20461 (2023) - [j54]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: 369-381 (2023) - [j53]Ying Li, Yanan Zhu, Shihui Ying:
Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior. Neural Process. Lett. 55(9): 12547-12567 (2023) - [j52]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): 1835-1847 (2023) - [j51]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): 7751-7763 (2023) - [j50]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: 109076 (2023) - [j49]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): 1512-1523 (2023) - [j48]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): 2047-2058 (2023) - [j47]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): 3337-3348 (2023) - [j46]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): 5926-5936 (2023) - [j45]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): 1218-1227 (2023) - [i15]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 abs/2301.08857 (2023) - [i14]Lili Bao, Jiahao Lu, Shihui Ying, Stefan Sommer:
Sliding at first order: Higher-order momentum distributions for discontinuous image registration. CoRR abs/2303.07744 (2023) - [i13]Yaqian Guo, Xin Wang, Ce Li, Shihui Ying:
Domain Adaptive Semantic Segmentation by Optimal Transport. CoRR abs/2303.16435 (2023) - [i12]Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng:
Fast MRI Reconstruction via Edge Attention. CoRR abs/2304.11400 (2023) - [i11]Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying:
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. CoRR abs/2305.02774 (2023) - [i10]Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification. CoRR abs/2305.15773 (2023) - [i9]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 abs/2306.06982 (2023) - [i8]Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. CoRR abs/2307.14394 (2023) - [i7]Chong Deng, Xin-Jian Xu, Shihui Ying:
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model. CoRR abs/2309.10416 (2023) - [i6]Jie Hou, Zhiying Ma, Shihui Ying, Ying Li:
HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations. CoRR abs/2310.04789 (2023) - [i5]Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying:
UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution. CoRR abs/2311.09757 (2023) - [i4]Hao Zhang, Qi Wang, Jun Shi, Shihui Ying, Zhijie Wen:
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction. CoRR abs/2312.16998 (2023) - 2022
- [j44]Di Xiong, Shihui Ying, Hongtu Zhu:
Intrinsic partial linear models for manifold-valued data. Inf. Process. Manag. 59(4): 102954 (2022) - [j43]Ying Li, Zuojia Zhou, Shihui Ying:
DeLISA: Deep learning based iteration scheme approximation for solving PDEs. J. Comput. Phys. 451: 110884 (2022) - [j42]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: 102294 (2022) - [j41]Yulu Zhang, Shihui Ying, Zhijie Wen:
Multitask transfer learning with kernel representation. Neural Comput. Appl. 34(15): 12709-12721 (2022) - [j40]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): 3443-3466 (2022) - [j39]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): 2277-2297 (2022) - [j38]Shuyi Ji, Zizhao Zhang, Shihui Ying, Liejun Wang, Xibin Zhao, Yue Gao:
Kullback-Leibler Divergence Metric Learning. IEEE Trans. Cybern. 52(4): 2047-2058 (2022) - [j37]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): 10948-10956 (2022) - [j36]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): 3163-3173 (2022) - [j35]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): 3435-3446 (2022) - [j34]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): 2009-2020 (2022) - [c18]Ronglin Gong, Shihui Ying, Jun Shi:
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography. ICIP 2022: 551-555 - [i3]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 abs/2205.15530 (2022) - [i2]Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao:
Deep Hypergraph Structure Learning. CoRR abs/2208.12547 (2022) - 2021
- [j33]Zheng Li, Chaofeng Wang, Jun Wang, Shihui Ying, Jun Shi:
Lightweight adaptive weighted network for single image super-resolution. Comput. Vis. Image Underst. 211: 103254 (2021) - [j32]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: 108139 (2021) - [j31]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): 1185-1196 (2021) - [j30]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): 3874-3885 (2021) - 2020
- [j29]Yaxin Peng, Nijing Zhang, Ying Li, Shihui Ying:
A Local-to-Global Metric Learning Framework From the Geometric Insight. IEEE Access 8: 16953-16964 (2020) - [j28]Xin Wang, Yun Li, Yaxin Peng, Shihui Ying:
A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy. IEEE Access 8: 40692-40703 (2020) - [j27]Xin Wang, Xiaohuang Zhu, Shihui Ying, Chaomin Shen:
An Accelerated and Robust Partial Registration Algorithm for Point Clouds. IEEE Access 8: 156504-156518 (2020) - [j26]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): 553-562 (2020) - [j25]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): 1252-1264 (2020) - [j24]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: 271-283 (2020) - [j23]Shaorong Xie, Chao Pan, Yaxin Peng, Ke Liu, Shihui Ying:
Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor. Sensors 20(10): 2870 (2020) - [c17]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: 4692-4699 - [c16]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: 141-149 - [c15]Junjie Zhu, Bingjun Luo, Sicheng Zhao, Shihui Ying, Xibin Zhao, Yue Gao:
IExpressNet: Facial Expression Recognition with Incremental Classes. ACM Multimedia 2020: 2899-2908 - [c14]Wei Wang, Zhijie Wen, Liyan Ma, Shihui Ying:
Multi-metric Joint Discrimination Network for Few-Shot Classification. PRCV (3) 2020: 273-285 - [i1]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 abs/2007.06634 (2020)
2010 – 2019
- 2019
- [j22]Lipeng Cai, Shihui Ying, Yaxin Peng, Changzhou He, Shaoyi Du:
Intrinsic Metric Learning With Subspace Representation. IEEE Access 7: 68572-68583 (2019) - [j21]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: 67-76 (2019) - [j20]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): 1129-1140 (2019) - [c13]Ying Li, Lin Cheng, Yaxin Peng, Zhijie Wen, Shihui Ying:
Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation. ICME 2019: 688-693 - [c12]Zhijie Wen, Mingyang Sun, Ying Li, Shihui Ying, Yaxin Peng:
Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification. ICRA 2019: 4862-4868 - [c11]Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng:
Geometric Understanding for Unsupervised Subspace Learning. IJCAI 2019: 4171-4177 - 2018
- [j19]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): 1750040:1-1750040:22 (2018) - [j18]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: 37-50 (2018) - [j17]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: 141-149 (2018) - [j16]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): 173-183 (2018) - [j15]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): 2731-2742 (2018) - [c10]Yaxin Peng, Lingfang Hu, Shihui Ying, Chaomin Shen:
Global Nonlinear Metric Learning by Gluing Local Linear Metrics. SDM 2018: 423-431 - 2017
- [j14]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): 1327-1337 (2017) - [c9]Chaofeng Wang, Jun Shi, Qi Zhang, Shihui Ying:
Histopathological image classification with bilinear convolutional neural networks. EMBC 2017: 4050-4053 - [c8]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: 456-459 - 2016
- [j13]Shihui Ying, Yuanwei Wang, Zhijie Wen, Yuping Lin:
Nonlinear 2D shape registration via thin-plate spline and Lie group representation. Neurocomputing 195: 129-136 (2016) - [j12]Shihui Ying, Han Qin, Yaxin Peng, Zhijie Wen:
Compute Karcher means on SO(n) by the geometric conjugate gradient method. Neurocomputing 215: 169-174 (2016) - [j11]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: 25-30 (2016) - [c7]Ce Li, Qiang Ma, Limei Xiao, Shihui Ying:
An Image Copy Move Forgery Detection Method Using QDCT. ICIMCS 2016: 5-8 - [c6]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: 95-103 - [c5]Jinjie Wu, Jun Shi, Shihui Ying, Qi Zhang, Yan Li:
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network. MLMI@MICCAI 2016: 122-129 - 2014
- [j10]Jianmin Dong, Yaxin Peng, Shihui Ying, Zhiyu Hu:
LieTrICP: An improvement of trimmed iterative closest point algorithm. Neurocomputing 140: 67-76 (2014) - [j9]Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen:
Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set. NeuroImage 84: 626-638 (2014) - 2013
- [j8]Yaxin Peng, Wei Lin, Shihui Ying, Jigen Peng:
Soft shape registration under Lie group frame. IET Comput. Vis. 7(6): 437-447 (2013) - [c4]Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen:
Groupwise Registration via Graph Shrinkage on the Image Manifold. CVPR 2013: 2323-2330 - [c3]Shihui Ying, Guorong Wu, Shu Liao, Dinggang Shen:
Inter-group image registration by hierarchical graph shrinkage. ISBI 2013: 1030-1033 - 2011
- [j7]Shihui Ying, Yaxin Peng, Zhijie Wen:
Iwasawa decomposition: a new approach to 2D affine registration problem. Pattern Anal. Appl. 14(2): 127-137 (2011) - 2010
- [j6]Shihui Ying, Hong Qiao:
Lie group method: A new approach to image matching with arbitrary orientations. Int. J. Imaging Syst. Technol. 20(3): 245-252 (2010) - [j5]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): 442-452 (2010) - [j4]Shaoyi Du, Nanning Zheng, Shihui Ying, Jianyi Liu:
Affine iterative closest point algorithm for point set registration. Pattern Recognit. Lett. 31(9): 791-799 (2010)
2000 – 2009
- 2009
- [j3]Kai-Jie Zheng, Jigen Peng, Shihui Ying:
A New Approach to Weighted Graph Matching. IEICE Trans. Inf. Syst. 92-D(8): 1580-1583 (2009) - [j2]Shihui Ying, Jigen Peng, Shaoyi Du, Hong Qiao:
Lie Group Framework of Iterative Closest Point Algorithm for n-d Data Registration. Int. J. Pattern Recognit. Artif. Intell. 23(6): 1201-1220 (2009) - [j1]Shihui Ying, Jigen Peng, Shaoyi Du, Hong Qiao:
A Scale Stretch Method Based on ICP for 3D Data Registration. IEEE Trans Autom. Sci. Eng. 6(3): 559-565 (2009) - 2007
- [c2]Shaoyi Du, Nanning Zheng, Shihui Ying, Qubo You, Yang Wu:
AN Extension of the ICP Algorithm Considering Scale Factor. ICIP (5) 2007: 193-196 - [c1]Shaoyi Du, Nanning Zheng, Shihui Ying, Jishang Wei:
ICP with Bounded Scale for Registration of M-D Point Sets. ICME 2007: 1291-1294
Coauthor Index
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