Yinzhi Cao

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 158 researchers and is trusted by 69 researchers here, as inferred from the citation graph.

Subfields

Whom Yinzhi Cao trusts overall

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

  1. Paul E. Utgoff
  2. Geoffrey E. Hinton
  3. Pedro M. Domingos
  4. Gert Cauwenberghs
  5. Alex Krizhevsky
  6. Jia Deng
  7. Karen Simonyan
  8. Christian Szegedy
  9. Pavel Laskov
  10. Blaine Nelson

Who trusts Yinzhi Cao overall

  1. Tianwei Zhang
  2. Zecheng He
  3. Meghdad Kurmanji
  4. Thomas Baumhauer
  5. Yinjun Wu
  6. Quoc Phong Nguyen
  7. Wenbo Guo
  8. Kexin Pei
  9. Lei Ma
  10. David Marco Sommer

Papers from Yinzhi Cao's perspective

Ordered by how strongly the researchers Yinzhi Cao 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers