Yan Feng

Artificial Intelligence · 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 Yan Feng 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 Yan Feng's perspective

Ordered by how strongly the researchers Yan Feng 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. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers