Ninghui Sun

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 107 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ninghui Sun trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Simon S. Haykin
  8. L. Eon Bottou
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Ninghui Sun overall

  1. Minsoo Rhu
  2. Patrick Judd
  3. Yu-hsin Chen
  4. Matthieu Courbariaux
  5. Hyoukjun Kwon
  6. Vivienne Sze

Papers from Ninghui Sun's perspective

Ordered by how strongly the researchers Ninghui Sun 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers