Feng Yan

Electrical and Electronic Engineering · Advances in Materials · 2008–2021

A researcher in the Science corpus: 27 papers; trusts 403 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Yan trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Karen Simonyan
  9. L. Eon Bottou
  10. Christian Szegedy

Who trusts Feng Yan overall

  1. Konstantin Mishchenko
  2. Peter Richtárik
  3. Sebastian U. Stich
  4. Lemeng Wu
  5. Hanlin Tang
  6. Li Yang
  7. Yunhui Guo
  8. Ahmed Khaled
  9. Caizhi Liao

Papers from Feng Yan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers