Yanhong Wu

Artificial Intelligence · with Yang · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yanhong Wu trusts overall

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

  1. Danny Holten
  2. Jerome H. Friedman
  3. Diederik P. Kingma
  4. Eric R. Ziegel
  5. U. Brandes
  6. Zachary Chase Lipton
  7. Tom Fawcett
  8. Tamara Munzner
  9. Trevor J. Hastie
  10. Geoffrey E. Hinton

Who trusts Yanhong Wu overall

  1. Mengchen Liu
  2. Nadia Burkart
  3. Joakim Skarding
  4. Oscar Gomez

Papers from Yanhong Wu's perspective

Ordered by how strongly the researchers Yanhong Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers