Licheng Jiao

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Licheng Jiao trusts overall

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

  1. François Chollet
  2. Waqas Sultani
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Andrej Karpathy
  7. Ashish Vaswani
  8. Weixin Luo
  9. Karen Simonyan
  10. Jianfeng Feng

Papers from Licheng Jiao's perspective

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

Their papers