Yinghui Gao

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yinghui Gao trusts overall

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

  1. Salvador Elías Venegas-Andraca
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. José I. Latorre
  6. Kaiming He
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Grgoire Montavon
  10. Matthew D. Zeiler

Papers from Yinghui Gao's perspective

Ordered by how strongly the researchers Yinghui Gao 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. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers