Fengzhou Fang

Biomedical Engineering · 2003–2021

A researcher in the Science corpus: 17 papers; trusts 321 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Fengzhou Fang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Joseph Redmon
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Fengzhou Fang overall

  1. Gerry Byrne
  2. Ravi P. Singh
  3. Ana Vafadar
  4. Chenglong Zhang
  5. Nan Zhang

Papers from Fengzhou Fang's perspective

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

Their papers