Ya Zhang

Computer Vision and Pattern Recognition · with Xie · 2010–2021

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ya Zhang trusts overall

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

  1. Jerome H. Friedman
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Andrew Zisserman
  8. Diederik P. Kingma
  9. R. Caruana
  10. Yann LeCun

Papers from Ya Zhang's perspective

Ordered by how strongly the researchers Ya Zhang 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Et al
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers