Huaji Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huaji Wang trusts overall

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

  1. Carl E. Rasmussen
  2. Alex Krizhevsky
  3. Kaiming He

Papers from Huaji Wang's perspective

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

Their papers