Hoo-Chang Shin
6 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (17)
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Keyword Pioneer
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Trend Setter
Top co-authors
Research topics
Computer Vision
(4)
Domain-Specific
(4)
Deep Learning
(3)
Machine Learning
(3)
Natural Language Processing
(3)
Learning Types Β· Machine Learning
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Resources & Methods
(2)
Artificial Intelligence
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Generation
(1)
Learning Types Β· Deep Learning
(1)
Keywords
medical imaging
(4)
recurrent neural network
(2)
convolutional neural network
(2)
image generation
(1)
domain adaptation
(1)
natural language processing
(1)
latent dirichlet allocation
(1)
weakly supervised learning
(1)
relation extraction
(1)
question answering
(1)
named entity recognition
(1)
preference optimization
(1)
model editing
(1)
deep learning
(1)
image interpretation
(1)
gene expression
(1)
image annotation
(1)
disease detection
(1)
deep convolutional neural network
(1)
open-ended task
(1)
Papers
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
ACL 2025
BioMegatron: Larger Biomedical Domain Language Model
EMNLP 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 2020
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
JMLR 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
CVPR 2016
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database
CVPR 2015