Peng Li

Computer Vision and Pattern Recognition · with Xie · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Hugo Larochelle
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. J. Urgen Schmidhuber

Who trusts Peng Li overall

  1. Lin Wang

Papers from Peng Li's perspective

Ordered by how strongly the researchers Peng Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers