Hanli Wang

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 244 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hanli Wang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Matthew D. Zeiler
  4. Yann LeCun
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Kaiming He
  8. Rob Fergus
  9. Karen Simonyan
  10. Vinod Nair

Who trusts Hanli Wang overall

  1. Limin Wang
  2. Hossein Gholamalinezhad
  3. Farhad Shiri
  4. Mercedes Eugenia Paoletti

Papers from Hanli Wang's perspective

Ordered by how strongly the researchers Hanli Wang 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers