Wangli Hao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wangli Hao trusts overall

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

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

Papers from Wangli Hao's perspective

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

Their papers