Ye Liu

Computer Vision and Pattern Recognition · medRxiv · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ye Liu trusts overall

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

  1. Ronan Collobert
  2. Yann LeCun
  3. Gerald Schaefer

Who trusts Ye Liu overall

  1. Peng Zhou
  2. Belhassen Bayar
  3. Yuan Rao

Papers from Ye Liu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. A unified architecture for natural language processing: deep neural networks with multitask learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Deep Boltzmann Machines
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers