Changying Li

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 5 papers; trusts 366 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Changying Li trusts overall

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

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

Who trusts Changying Li overall

  1. Lili Zhu

Papers from Changying Li's perspective

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

Their papers