Yunfei Liu

Artificial Intelligence · with Bailey · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yunfei Liu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ilya Sutskever
  5. Jia Deng
  6. Yoshua Bengio
  7. Christian Szegedy
  8. X. Zhang
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Yunfei Liu overall

  1. Fanchao Qi
  2. Yige Li
  3. Lingjuan Lyu
  4. Ahmed Salem
  5. Wenkai Yang
  6. Yangyi Chen
  7. Nodens F. Koren
  8. Mukai Li
  9. Xixiang Lyu
  10. Xingjun Ma

Papers from Yunfei Liu's perspective

Ordered by how strongly the researchers Yunfei Liu 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers