Lun Wang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Lun Wang trusts overall

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

  1. Karen Simonyan
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Cynthia Dwork
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Bargav Jayaraman

Who trusts Lun Wang overall

  1. Eugene Bagdasarian
  2. Xijie Huang
  3. Sebastian Szyller

Papers from Lun Wang's perspective

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

Their papers