Haonan Yuan

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Haonan Yuan trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Matthew D. Zeiler
  4. Geoffrey E. Hinton
  5. Richard S. Sutton
  6. Andrea Vedaldi
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Rob Fergus

Who trusts Haonan Yuan overall

  1. Hao Yuan
  2. Andreas Holzinger
  3. Siqi Miao
  4. Haiyang Yu
  5. Thomas Schnake
  6. Anna Saranti
  7. Miaoyuan Liu
  8. Shuiwang Ji
  9. Bernd Malle

Papers from Haonan Yuan's perspective

Ordered by how strongly the researchers Haonan Yuan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers