Hongzhou Lin

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 70 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Hongzhou Lin trusts overall

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

  1. Yurii E. Nesterov
  2. Shai Shalev-Shwartz
  3. Julien Mairal
  4. Tong Zhang
  5. Mark W. Schmidt
  6. Francis R. Bach
  7. Kaiming He
  8. Lin Xiao
  9. Dmitry Yarotsky
  10. Geoffrey E. Hinton

Who trusts Hongzhou Lin overall

  1. Zeyuan Allen-Zhu
  2. Jakub Konecný
  3. Jason D. Lee
  4. Julien Mairal
  5. Aaron Defazio
  6. Simon Lacoste-Julien
  7. Shai Shalev-Shwartz
  8. Francis R. Bach
  9. Peter Richtárik
  10. Tengyu Ma

Papers from Hongzhou Lin's perspective

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

Their papers