Xiaoguang Liu

Artificial Intelligence · 2009–2016

A researcher in the Science corpus: 4 papers; trusts 97 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoguang Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Yann LeCun
  5. L. Eon Bottou
  6. Kaiming He
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Christian Szegedy
  10. Diederik P. Kingma

Papers from Xiaoguang Liu's perspective

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

Their papers