Fuyi Li

Molecular Biology · with Song · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fuyi Li trusts overall

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

  1. Kuo-Chen Chou
  2. Morten Nielsen
  3. Geoffrey E. Hinton
  4. Bjoern Peters
  5. Andrew L. Maas
  6. Claus Lundegaard
  7. Karen Simonyan
  8. Sepp Hochreiter
  9. Vinod Nair
  10. Ilya Sutskever

Papers from Fuyi Li's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers