Ziyi Wang

Artificial Intelligence · with Brar · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ziyi Wang trusts overall

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

  1. Yarin Gal
  2. Diederik P. Kingma
  3. Charles Blundell
  4. Keuntaek Lee
  5. Karen Simonyan
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Andrew Zisserman
  9. Alex Krizhevsky
  10. Yuval Tassa

Papers from Ziyi Wang's perspective

Ordered by how strongly the researchers Ziyi Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers