Cheng Wang

Computational Theory and Mathematics · with Zhang · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Wang trusts overall

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

  1. Trevor J. Hastie
  2. Jerome H. Friedman
  3. Renxiao Wang
  4. Ajay N. Jain
  5. Robert Tibshirani
  6. Antonio Lavecchia

Who trusts Cheng Wang overall

  1. Luca Pinzi
  2. Joe G. Greener
  3. Gengmo Zhou
  4. Giulio Rastelli
  5. Shaun M. Kandathil
  6. Zhifeng Gao
  7. Lewis Moffat

Papers from Cheng Wang's perspective

Ordered by how strongly the researchers Cheng Wang 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Regression Shrinkage and Selection via the Lasso
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers