Hongfei Lin

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hongfei Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Tomas Mikolov
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. L. V. D. van der Maaten
  7. Yann LeCun
  8. Matthew D. Zeiler
  9. Diederik P. Kingma
  10. Ruslan Salakhutdinov

Who trusts Hongfei Lin overall

  1. Zhiyong Lu

Papers from Hongfei Lin's perspective

Ordered by how strongly the researchers Hongfei Lin 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers