Zhengde (Theodore) Zhao
Scholar

Zhengde (Theodore) Zhao

Google Scholar ID: Ftyui_wAAAAJ
Microsoft
Machine LearningSelf-supervised LearningMultimodal LearningOptimizationProbability
Citations & Impact
All-time
Citations
257
 
H-index
6
 
i10-index
5
 
Publications
15
 
Co-authors
0
 
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Paper 'Boltzmann Attention Sampling for Image Analysis with Small Objects' accepted at CVPR 2025
  • BiomedParse project published in Nature Methods (2024): a foundation model for joint segmentation, detection, and recognition across nine biomedical imaging modalities; code, model, and a million-scale text-promptable medical image segmentation dataset released
  • Paper 'Pareto Optimal Learning for Estimating Large Language Model Errors' accepted at ACL 2024
  • Co-authored survey 'Foundation Models for Biomedical Image Segmentation: A Survey' (Preprint, 2024)
  • Published 'A Noisy Fractional Brownian Motion Model for Multiscale Correlation Analysis of High-Frequency Prices' in Mathematics (2024)
  • Gave a talk at the 2024 Joint Statistical Meetings (JSM) on August 5, 2024
Co-authors
0 total
Co-authors: 0 (list not available)