Yuan Li

Computer Vision and Pattern Recognition · with Zhang · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 720 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Li trusts overall

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

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

Papers from Yuan Li's perspective

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

Their papers