Yun Li

Artificial Intelligence · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Li trusts overall

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

  1. Lei Yu
  2. Jerome H. Friedman
  3. J. Ross Quinlan
  4. Huan Liu
  5. Ulrike von Luxburg
  6. Muthu Dayalan
  7. Yvan Saeys
  8. Andre´ Elisseeff
  9. Mark Newman
  10. Thomas Abeel

Who trusts Yun Li overall

  1. Dina Jrab
  2. Derar Eleyan
  3. Amin Ul Haq

Papers from Yun Li's perspective

Ordered by how strongly the researchers Yun Li 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Regression Shrinkage and Selection via the Lasso
  10. Learning Multiple Layers of Features from Tiny Images

Their papers