Yonghong Yan

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Yonghong Yan trusts overall

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

  1. Jimmy Ba
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Gina-Anne Levow
  5. Kaiming He
  6. Yao Qian
  7. Alex Krizhevsky
  8. Nitish Srivastava
  9. Ilya Sutskever

Who trusts Yonghong Yan overall

  1. Xu Tan

Papers from Yonghong Yan's perspective

Ordered by how strongly the researchers Yonghong Yan 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Layer Normalization
  8. Gradient-based learning applied to document recognition
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. ImageNet: A large-scale hierarchical image database

Their papers