Shan Liu

Artificial Intelligence · with Li · 2018–2021

A researcher in the Science corpus: 7 papers; trusts 280 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shan Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Alex Graves
  6. Kaiming He
  7. Karen Simonyan
  8. Yann LeCun
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Shan Liu overall

  1. Ryuichi Yamamoto

Papers from Shan Liu's perspective

Ordered by how strongly the researchers Shan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers