Yingkai Zhang

Computational Theory and Mathematics · 1998–2016

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yingkai Zhang trusts overall

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

  1. Trevor J. Hastie
  2. Jerome H. Friedman
  3. Renxiao Wang

Who trusts Yingkai Zhang overall

  1. K. Klyukin
  2. Johannes Klicpera
  3. Stefan Grimme
  4. Kristian Berland
  5. Luca Pinzi
  6. Alexandra Zagalskaya
  7. Lars Goerigk
  8. Roger H. French
  9. Joe G. Greener
  10. S. Giri

Papers from Yingkai Zhang's perspective

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

  1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Regression Shrinkage and Selection via the Lasso
  4. The Nature of Statistical Learning Theory
  5. The Elements of Statistical Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Building high-level features using large scale unsupervised learning
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers