Guang-Zhong Yang

Biomedical Engineering · 2006–2021

A researcher in the Science corpus: 14 papers; trusts 46 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Guang-Zhong Yang trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Radford M. Neal
  6. Yann LeCun
  7. Ilya Sutskever
  8. Brian Scassellati
  9. Robert Tibshirani
  10. Andrew Zisserman

Who trusts Guang-Zhong Yang overall

  1. Hyun Nam Lee
  2. Tobias Weyand
  3. Javier Andreu-Perez
  4. Song Cao
  5. Kyungseo Park
  6. Sebastijan Sprager
  7. Peter Hall
  8. Pardeep Kumar
  9. James M. Gilbert
  10. Daniele Ravì

Papers from Guang-Zhong Yang's perspective

Ordered by how strongly the researchers Guang-Zhong Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers