Weibin Mo

Statistics and Probability · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Weibin Mo trusts overall

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

  1. Robert Tibshirani
  2. Yurii E. Nesterov
  3. Grace Wahba
  4. Hui Zou
  5. Jerome H. Friedman
  6. Yi Lin
  7. Trevor J. Hastie
  8. Bradley Efron
  9. Peter L. Bartlett
  10. Radford M. Neal

Who trusts Weibin Mo overall

  1. Yasar Sinan Nasir
  2. Aisha Abdallah
  3. Dongning Guo
  4. Mohd Aizaini Maarof
  5. Anazida Binti Zainal

Papers from Weibin Mo's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. The Nature of Statistical Learning Theory
  7. Learning Multiple Layers of Features from Tiny Images
  8. The Elements of Statistical Learning
  9. Long Short-Term Memory
  10. Atomic Decomposition by Basis Pursuit

Their papers