Gang Wan

Media Technology · with Yu · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Wan trusts overall

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

  1. Jon Atli Benediktsson

Papers from Gang Wan's perspective

Ordered by how strongly the researchers Gang Wan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. Matching Networks for One Shot Learning
  6. Prototypical Networks for Few-shot Learning
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Speech recognition with deep recurrent neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers