Ya Jing

Computer Vision and Pattern Recognition · with Wang · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ya Jing trusts overall

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

  1. Diederik P. Kingma
  2. Zhengyou Zhang
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Yann LeCun
  6. Mengyuan Liu
  7. Karen Simonyan
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Kaiming He

Who trusts Ya Jing overall

  1. Yisheng Song
  2. Maosen Li
  3. Zehua Sun
  4. Zhang Zhang
  5. Chenyang Si
  6. Wei Peng

Papers from Ya Jing's perspective

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

Their papers