825 results on '"An-Ling Zhang"'
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2. HighlightRemover: Spatially Valid Pixel Learning for Image Specular Highlight Removal.
3. Stiffness-Tunable Functional Liquid Metal Sponge.
4. Prompting Whole Slide Image Based Genetic Biomarker Prediction.
5. Proposal Feature Learning Using Proposal Relations for Weakly Supervised Object Detection.
6. Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models.
7. CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
8. Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
9. Efficient Model Stealing Defense with Noise Transition Matrix.
10. Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features.
11. Unlearning from Weakly Supervised Learning.
12. Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning.
13. Learning Label-Specific Multiple Local Metrics for Multi-Label Classification.
14. Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning.
15. LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning.
16. Improved Esophageal Varices Assessment from Non-contrast CT Scans.
17. A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation.
18. Low-Precision Vectorized Arithmetic Unit Designs for Deep Learning.
19. Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks.
20. C-LSTM for MT-InSAR Ground Deformation Prediction.
21. Building Extraction from High-Resolution Remote Sensing Images Using Improved HRNet Method.
22. Automatic Multi-label Classification of Interictal Epileptiform Discharges (IED) Detection Based on Scalp EEG and Transformer.
23. A Knowledge-driven Framework for Software Supply Chain Security Analysis.
24. SR-RDW : A Multi-user Redirected Walking Method Based on State Recovery for Alignment.
25. Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation.
26. EAT: Towards Long-Tailed Out-of-Distribution Detection.
27. Disentangled Partial Label Learning.
28. Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning.
29. Calibration Bottleneck: Over-compressed Representations are Less Calibratable.
30. Generalization Analysis for Multi-Label Learning.
31. Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning.
32. Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition.
33. CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
34. YOLO-UB Based Detection and Identification of Illegal Structures in the Ancient City.
35. Research on Visual-Inertial Odometry Methods for Aerial Payload Delivery Scenarios.
36. MCSC-UTNet: Honeycomb lung segmentation algorithm based on Separable Vision Transformer and context feature fusion.
37. Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
38. On the Pitfall of Mixup for Uncertainty Calibration.
39. Document Image Shadow Removal Guided by Color-Aware Background.
40. Complementary Classifier Induced Partial Label Learning.
41. Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
42. MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET.
43. A Review of Factors Affecting Cognitive Load in Immersive Virtual Learning Environment.
44. The Design of a Mobile Application MetaPlant.
45. Multi-layer Feature Refinement Extraction With Contrastive Learning For Cervical OCT Image Classification.
46. Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning.
47. Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification.
48. Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps.
49. Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels.
50. Design and development of virtual simulation experiment teaching project.
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