Ye Liu

Computer Vision and Pattern Recognition · Neurocomputing · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 4 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. Robert Tibshirani
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Rakesh Agrawal
  5. Geoffrey E. Hinton
  6. Ming Yuan
  7. Dit-Yan Yeung
  8. Andrew Zisserman
  9. Yu Zhang
  10. John D. Lafferty

Who trusts Ye Liu overall

  1. Florenc Demrozi
  2. Graziano Pravadelli
  3. Azra Bihorac
  4. Daniel Preotiuc-Pietro
  5. Parisa Rashidi

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. 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers