Haibin Zhang

Artificial Intelligence · with Li · 2013–2021

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Haibin Zhang trusts overall

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

  1. Robert Tibshirani
  2. Hui Zou
  3. Paul Tseng
  4. Francis R. Bach
  5. Ming Yuan
  6. Volker Roth
  7. Lukas Meier
  8. Stephen J. Wright
  9. Jun Liu
  10. Trevor J. Hastie

Who trusts Haibin Zhang overall

  1. Ke Hou
  2. Zirui Zhou
  3. Anthony Man-Cho So
  4. Zhi-Quan Tom Luo

Papers from Haibin Zhang's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Model selection and estimation in regression with grouped variables
  3. Addendum: Regularization and variable selection via the elastic net
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. The group lasso for logistic regression
  8. Gradient-based learning applied to document recognition
  9. Atomic Decomposition by Basis Pursuit
  10. Learning Multiple Layers of Features from Tiny Images

Their papers