Yadong Wang

Artificial Intelligence · with Li · 2018

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

Subfields

Whom Yadong Wang trusts

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

  1. David A. Wagner (in Artificial Intelligence)
  2. Nicholas Carlini (in Artificial Intelligence)

Papers from Yadong Wang's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Explaining and Harnessing Adversarial Examples
  7. GradientBased Learning Applied to Document Recognition
  8. The mnist database of handwritten digits
  9. Mastering the game of Go with deep neural networks and tree search
  10. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Their papers