Yongqin Li

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongqin Li trusts overall

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

  1. Yoshua Bengio
  2. Wengang Zhang
  3. Leo Breiman
  4. Jerome H. Friedman
  5. Robert Tibshirani
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Trevor J. Hastie

Who trusts Yongqin Li overall

  1. Wengang Zhang

Papers from Yongqin Li's perspective

Ordered by how strongly the researchers Yongqin 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers