Yifang Fu

Artificial Intelligence · 2022

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

Subfields

Whom Yifang Fu trusts overall

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

  1. Yiding Yang
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Sergey Zagoruyko
  5. Kaiming He
  6. Bo-Jian Hou
  7. Zhi-Hua Zhou
  8. Chenping Hou
  9. Mingkuan Yuan
  10. Jonathan Brophy

Papers from Yifang Fu's perspective

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

Their papers