Yi-Fu Wu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Fu Wu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Kaiming He
  5. Jonathan T. Barron
  6. J. Urgen Schmidhuber
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Christian Szegedy

Who trusts Yi-Fu Wu overall

  1. Jindong Jiang

Papers from Yi-Fu Wu's perspective

Ordered by how strongly the researchers Yi-Fu Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers