Can Wang

Artificial Intelligence · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 144 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Can Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Yann LeCun
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Ross B. Girshick

Papers from Can Wang's perspective

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

Their papers