Guodong Chen

2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Guodong Chen trusts overall

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

  1. Karen Simonyan
  2. Yongqin Xian
  3. Andrew Zisserman
  4. Kai Keng Ang
  5. Benjamin Blankertz
  6. Fabien Lotte
  7. Vernon J. Lawhern
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Bernt Schiele

Who trusts Guodong Chen overall

  1. Hayden S. Helm
  2. Brandon Duderstadt
  3. Carey E. Priebe

Papers from Guodong Chen's perspective

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

Their papers