Yu-Feng Li

Artificial Intelligence · with Zhou · 2008–2021

A researcher in the Science corpus: 10 papers; trusts 307 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-Feng Li trusts overall

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

  1. Yoshua Bengio
  2. Thorsten Joachims
  3. Vladimir Naumovich Vapnik
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Christopher K. I. Williams
  7. Zhi-Hua Zhou
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Yu-Feng Li overall

  1. Alexander Mey
  2. Chen Gong
  3. Marco Loog
  4. Zhi-Hua Zhou
  5. Han-Jia Ye
  6. Billy Pik Lik Lau
  7. Jacob Steinhardt
  8. Jesse H. Krijthe
  9. David Lopez-Paz
  10. Alessandro Rudi

Papers from Yu-Feng Li's perspective

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

Their papers