Guangyu Sun

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guangyu Sun trusts overall

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

  1. Alex Krizhevsky
  2. Cynthia Dwork
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Karen Simonyan
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. X. Zhang

Papers from Guangyu Sun's perspective

Ordered by how strongly the researchers Guangyu Sun 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. Learning Multiple Layers of Features from Tiny Images
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers