Wenbin Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbin Zhang trusts overall

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

  1. Indrė Žliobaitė
  2. Latanya Sweeney
  3. Faisal Kamiran
  4. Toon Calders
  5. João Gama
  6. Albert Bifet
  7. Pedro M. Domingos
  8. Sara Hajian
  9. Oded Maron
  10. Amit Datta

Who trusts Wenbin Zhang overall

  1. Vasileios Iosifidis
  2. Ulrich Matchi Aïvodji
  3. Eirini Ntoutsi
  4. Julien Ferry

Papers from Wenbin Zhang's perspective

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

  1. Discrimination in online ad delivery
  2. Three naive Bayes approaches for discrimination-free classification
  3. ImageNet classification with deep convolutional neural networks
  4. Classifying without discriminating
  5. Building Classifiers with Independency Constraints
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Mining high-speed data streams
  9. Automated Experiments on Ad Privacy Settings
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers