Zhuliang Yao

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 580 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zhuliang Yao trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Zhuliang Yao overall

  1. Qiao Tian
  2. Asit K. Mishra
  3. Chien-Yao Wang
  4. Yongming Rao

Papers from Zhuliang Yao's perspective

Ordered by how strongly the researchers Zhuliang Yao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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