Yuying Li

Finance · with Coleman · 2006–2017

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Yuying Li trusts overall

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

  1. Jerome H. Friedman
  2. James Bergstra
  3. Leo Breiman
  4. Thomas F. Coleman
  5. Chih-Jen Lin
  6. Simon S. Haykin
  7. Anna Rita Bacinello
  8. David West
  9. Frank Hutter
  10. Antoon Pelsser

Who trusts Yuying Li overall

  1. Thomas F. Coleman
  2. Guojun Gan
  3. A. Bélanger
  4. X. Lin

Papers from Yuying Li's perspective

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

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

Their papers