Yunhe Gao
12 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Conference Pioneer
π
Century Club Β· Bronze
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Research topics
Computer Vision
(5)
Deep Learning
(5)
Machine Learning
(5)
Domain-Specific
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Core Methods
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Learning Paradigms
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Techniques
(2)
Natural Language Processing
(1)
Analysis
(1)
Keywords
transfer learning
(2)
in-context learning
(2)
few-shot learning
(2)
medical image segmentation
(2)
vision-language model
(2)
self-supervised learning
(1)
universal segmentation
(1)
domain adaptation
(1)
test-time adaptation
(1)
batch normalization
(1)
foundation model
(1)
part discovery
(1)
out-of-distribution generalization
(1)
medical image analysis
(1)
distribution shift
(1)
medical imaging
(1)
domain generalization
(1)
out-of-distribution detection
(1)
semantic segmentation
(1)
representation learning
(1)
Papers
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
CVPR 2026
Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation
WACV 2026
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
CVPR 2026
Implicit In-context Learning
ICLR 2025
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
MICCAI 2025
Show and Segment: Universal Medical Image Segmentation via In-Context Learning
CVPR 2025
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
ICML 2025
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
MICCAI 2024
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
CVPR 2024
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction
NeurIPS 2023
CrossNorm and SelfNorm for Generalization Under Distribution Shifts
ICCV 2021
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
ECCV 2020