Jing Xiao

Artificial Intelligence · with Wang · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 59 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Xiao trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Karen Simonyan
  9. Aäron van den Oord
  10. Alex Graves

Who trusts Jing Xiao overall

  1. Xu Tan

Papers from Jing Xiao's perspective

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

Their papers