Yingqi Liu

Artificial Intelligence · with Aafer · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yingqi Liu trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Andrew Zisserman
  6. Yoshua Bengio
  7. Yann LeCun
  8. Jia Deng
  9. Gil Levi
  10. Diederik P. Kingma

Who trusts Yingqi Liu overall

  1. Eugene Bagdasarian
  2. Anh Gia-Tuan Nguyen
  3. Vitaly Shmatikov
  4. Yige Li
  5. Wenkai Yang
  6. David Marco Sommer
  7. Shaofeng Li
  8. Edward Chou
  9. Di Tang
  10. Ziqi Yang

Papers from Yingqi Liu's perspective

Ordered by how strongly the researchers Yingqi Liu 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers