Hongyi Liu

Computer Vision and Pattern Recognition · with Wang · 2017

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hongyi Liu trusts overall

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

  1. Simon S. Haykin
  2. J. Urgen Schmidhuber
  3. Robert E. Schapire
  4. Bernhard Schölkopf
  5. Fadel M. Adib
  6. Karen Simonyan
  7. Leif E. Peterson
  8. David G. Lowe
  9. Yann LeCun
  10. Junseok Kwon

Who trusts Hongyi Liu overall

  1. Lihui Wang
  2. Jangwon Lee
  3. R. X. Gao

Papers from Hongyi Liu's perspective

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

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

Their papers