H. Yao

Ecology · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Yao trusts overall

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

  1. Thomas Blaschke
  2. Clement Atzberger
  3. Luke Wallace
  4. Laigen Dong
  5. Olaf Ronneberger
  6. Quanlong Feng
  7. Francisco Agüera
  8. Minho Kim
  9. Mahesh Pal
  10. Darren Turner

Who trusts H. Yao overall

  1. Xin Wu
  2. Wei Li

Papers from H. Yao's perspective

Ordered by how strongly the researchers H. Yao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers