Winston Hu
CS PhD student at Stony Brook University, working on machine learning and medical imaging analysis.
Research interests
medical imaging machine learning uncertainty quantification efficient vision models
Featured projects
Efficient Whole Slide Pathology VQA via Token Compression
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
SSM-based masked autoencoder for high-resolution 3D multi-contrast MR images with interpretable latent-to-spatial mapping.