187 results on '"Shihui Ying"'
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2. Self-supervised learning with application for infant cerebellum segmentation and analysis
3. RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations
4. A Self-Supervised Learning Based Channel Attention MLP-Mixer Network for Motor Imagery Decoding
5. Low-Rank Matrix Completion via QR-Based Retraction on Manifolds
6. A Local-to-Global Metric Learning Framework From the Geometric Insight
7. An Accelerated and Robust Partial Registration Algorithm for Point Clouds
8. A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy
9. Intrinsic Metric Learning With Subspace Representation
10. DWNN: Deep Wavelet Neural Network for Solving Partial Differential Equations
11. Symmetric Diffeomorphic Image Registration with Multi-Label Segmentation Masks
12. The Insular Subregions Topological Characteristics of Patients With Bipolar Depressive Disorder
13. Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor
14. Nonlinear image registration with bidirectional metric and reciprocal regularization.
15. eHUGS: Enhanced Hierarchical Unbiased Graph Shrinkage for Efficient Groupwise Registration.
16. Intrinsic semi-parametric regression model on Grassmannian manifolds with applications.
17. Histopathology Image Classification With Noisy Labels via The Ranking Margins.
18. Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration.
19. Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model.
20. Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images.
21. Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
22. Penalized Flow Hypergraph Local Clustering.
23. Hypergraph Isomorphism Computation.
24. Hypergraph Dynamic System.
25. LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference.
26. Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation.
27. Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
28. Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image.
29. Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images.
30. Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images.
31. Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification.
32. Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net.
33. Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior.
34. GAME: GAussian Mixture Error-based meta-learning architecture.
35. JSMix: a holistic algorithm for learning with label noise.
36. B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.
37. Structure Evolution on Manifold for Graph Learning.
38. Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution.
39. A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy.
40. Time multiscale regularization for nonlinear image registration.
41. Self-adaptive subspace representation from a geometric intuition.
42. A fine-grained orthodontics segmentation model for 3D intraoral scan data.
43. UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.
44. Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations.
45. Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography.
46. Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
47. A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
48. Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.
49. Kullback-Leibler Divergence Metric Learning.
50. Rotation-Invariant Point Cloud Representation for 3-D Model Recognition.
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