Chaoyue Niu

Artificial Intelligence · 2019

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

Subfields

Whom Chaoyue Niu trusts overall

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

  1. H. Brendan McMahan
  2. Sebastian Angel
  3. Ú. Erlingsson
  4. Hao Chen
  5. Hao Yu
  6. Guorui Zhou
  7. David Starobinski
  8. Keith Bonawitz
  9. Sarvar Patel
  10. Cynthia Dwork

Papers from Chaoyue Niu's perspective

Ordered by how strongly the researchers Chaoyue Niu 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. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers