Yongqiang Li

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 221 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yongqiang Li trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Jia Deng
  8. Andrew Zisserman
  9. Karen Simonyan
  10. Tsung-Yi Lin

Who trusts Yongqiang Li overall

  1. Yongqiang Zhang
  2. Yancheng Bai

Papers from Yongqiang Li's perspective

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

Their papers