Hui Wang

Computer Vision and Pattern Recognition · with Guo · 2019

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Wang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Sepp Hochreiter
  5. Alex Krizhevsky
  6. Mark J van Rossum
  7. Jimmy Ba
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Andrew Zisserman

Who trusts Hui Wang overall

  1. Xiuyi Chen
  2. Dan Guo

Papers from Hui Wang's perspective

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

Their papers