Yihui Fu

Signal Processing · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yihui Fu trusts overall

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

  1. Sergey Ioffe
  2. Arsha Nagrani
  3. Shinji Watanabe
  4. Jiayu Du
  5. John R. Hershey
  6. Andrew Zisserman
  7. Joon Son Chung
  8. Gordon Wichern
  9. Geoffrey E. Hinton
  10. Hui Bu

Who trusts Yihui Fu overall

  1. Alexis Plaquet
  2. Hervé Bredin

Papers from Yihui Fu's perspective

Ordered by how strongly the researchers Yihui Fu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers