Hanyun Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanyun Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Charles Ruizhongtai Qi
  5. Bo Li
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Hanyun Wang overall

  1. Shi Qiu

Papers from Hanyun Wang's perspective

Ordered by how strongly the researchers Hanyun Wang 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. Going deeper with convolutions
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers