Kangning Dong

Nature Communications · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Kangning Dong trusts overall

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

  1. Diederik P. Kingma
  2. Leland McInnes
  3. Chris Fraley
  4. Vincent D. Blondel
  5. Jimmy Ba
  6. John Healy
  7. Adrian E. Raftery
  8. Tim Stuart
  9. Huan Fu
  10. Catherine A. Calder

Who trusts Kangning Dong overall

  1. Huan Fu

Papers from Kangning Dong's perspective

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

Their papers