Yang He

Computer Vision and Pattern Recognition · with Yang · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 996 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yang He trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yoshua Bengio
  6. X. Zhang
  7. Diederik P. Kingma
  8. Song Han
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Yang He overall

  1. Zhongzhan Huang
  2. Tailin Liang
  3. Jiao Xie
  4. Sai Aparna Aketi
  5. Tao Lin
  6. Shaohui Lin
  7. Zhenda Xie
  8. Yi Yang
  9. Jing Liu
  10. Xuanyi Dong

Papers from Yang He's perspective

Ordered by how strongly the researchers Yang He 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers