Yuhai Wu

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2,965 researchers here, as inferred from the citation graph.

Subfields

Whom Yuhai Wu trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Vladimir Naumovich Vapni
  3. Geoffrey E. Hinton
  4. Colin J. H. McDiarmid
  5. Ronald J. Williams
  6. Radford M. Neal
  7. Yoshua Bengio
  8. Diederik P. Kingma

Who trusts Yuhai Wu overall

  1. Corinna Cortes
  2. Thorsten Joachims
  3. Mehryar Mohri
  4. Bernhard Schölkopf
  5. Kristen Grauman
  6. Yoshua Bengio
  7. Tong Zhang
  8. Jason Aaron Edward Weston
  9. Chih-Jen Lin
  10. Trevor Darrell

Papers from Yuhai Wu's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers