Ying Shan

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 31 papers; trusts 2,168 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Shan trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Ying Shan overall

  1. Jianyi Wang
  2. Zongsheng Yue
  3. X. Lin
  4. Jonas Oppenlaender
  5. Fanghua Yu
  6. Kelvin C. K. Chan
  7. Xintao Wang

Papers from Ying Shan's perspective

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

Their papers