Yi-Zhou Lin

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Zhou Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Ingrid Daubechies
  4. Christian Szegedy
  5. Yann LeCun
  6. Sergey Ioffe
  7. L. V. D. van der Maaten
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Yi-Zhou Lin overall

  1. Shengyuan Li
  2. Mohsen Azimi
  3. Xiao Liang
  4. Xuefeng Zhao
  5. Armin Dadras Eslamlou
  6. Eleni N. Chatzi

Papers from Yi-Zhou Lin's perspective

Ordered by how strongly the researchers Yi-Zhou Lin 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. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  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: A large-scale hierarchical image database

Their papers