Ying Li

Computer Vision and Pattern Recognition · with Shen · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 640 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Ying Li overall

  1. Yushi Chen
  2. Ava Vali
  3. Xin He
  4. Nicolas Audebert
  5. Xiaohui Yuan
  6. Charlotte Pelletier
  7. Lin Zhu
  8. Zilong Zhong
  9. Wenju Wang
  10. Shutao Li

Papers from Ying Li's perspective

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

Their papers