Yin Cao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yin Cao trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Andrew Zisserman
  9. Jia Deng
  10. Annamaria Mesaros

Who trusts Yin Cao overall

  1. Eduardo Fonseca
  2. Luyu Wang
  3. Yuan Gong

Papers from Yin Cao's perspective

Ordered by how strongly the researchers Yin Cao 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers