Le Hou
Scholar

Le Hou

Google Scholar ID: kQ0HeQIAAAAJ
Google Deepmind
Deep learning
Citations & Impact
All-time
Citations
27,017
 
H-index
37
 
i10-index
51
 
Publications
20
 
Co-authors
12
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications include but are not limited to:
  • - Code for instruction tuning: Flan v2
  • - SBU shadow dataset for Large Scale Shadow Annotation And Detection Using Lazy Annotation and Stacked CNNs
  • - Code and data for Robust Histopathology Image Analysis: to Label or to Synthesize?
  • - Individual lymphocyte classification dataset and related code
  • - Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
  • - Squared Earth Mover's Distance Loss for Training Deep Neural Networks on Ordered-Classes
  • - ConvNets with Smooth Adaptive Activation Functions for Regression
  • - Nucleus classification dataset for Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images
Research Experience
  • Now works at Google DeepMind; previously worked at Baidu.
Education
  • PhD degree at Stony Brook University (advisor not mentioned).
Background
  • Research of interests: deep learning, computer vision, natural language processing.
Miscellany
  • Personal interests: board games, sim racing, and music.