Xiaohui Yuan

Computer Vision and Pattern Recognition · Expert systems with applications · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 435 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohui Yuan trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Liang-Chieh Chen
  6. Ross B. Girshick
  7. Yann LeCun
  8. Karen Simonyan
  9. Christian Szegedy
  10. Diederik P. Kingma

Who trusts Xiaohui Yuan overall

  1. Danfeng Hong

Papers from Xiaohui Yuan's perspective

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

Their papers