Yi Liao

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Liao trusts overall

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

  1. Johannes Klicpera
  2. Geoffrey E. Hinton
  3. Max Welling
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Taco Cohen
  8. Kaiming He
  9. Ilya Sutskever
  10. Yann LeCun

Papers from Yi Liao's perspective

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

Their papers