Sang-Yun Oh

Genetics · 2000–2022

A researcher in the Science corpus: 11 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sang-Yun Oh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. H. Muller
  2. Michael I. Jordan
  3. Jane-ling Wang
  4. Matthew F. Glasser
  5. Fang Yao
  6. Jie Peng
  7. Pei Wang
  8. Wenjing Yang
  9. John A. D. Aston
  10. Kehui Chen

Papers from Sang-Yun Oh's perspective

Ordered by how strongly the researchers Sang-Yun Oh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High-dimensional graphs and variable selection with the Lasso
  2. Model selection and estimation in the Gaussian graphical model
  3. Functional Data Analysis for Sparse Longitudinal Data
  4. Linear Processes in Function Spaces: Theory And Applications
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. Functional Data Analysis
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Partial Correlation Estimation by Joint Sparse Regression Models (Journal of the American Statistical Association)

Their papers