Hua-Yan Wang

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 151 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hua-Yan Wang trusts overall

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

  1. Patrick Henry Winston
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Alex Smola
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Moustafa Youssef

Who trusts Hua-Yan Wang overall

  1. Suining He
  2. Qiang Yang
  3. S. Chan
  4. Tristan Sylvain
  5. Adam Kortylewski
  6. Garrett Wilson

Papers from Hua-Yan Wang's perspective

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

Their papers