Hao Wang

Artificial Intelligence · with Calmon · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Wang trusts overall

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

  1. Cynthia Dwork
  2. Peter Filzmoser
  3. Faisal Kamiran
  4. Indrė Žliobaitė
  5. Latanya Sweeney
  6. Muhammad Bilal Zafar
  7. Moritz Hardt
  8. Solon Barocas
  9. Alexandra Chouldechova
  10. Flávio du Pin Calmon

Who trusts Hao Wang overall

  1. Sarah Tan
  2. R. Caruana
  3. Silvia Chiappa
  4. Berk Ustun
  5. Giles Hooker
  6. Yin Lou
  7. Ray Jiang

Papers from Hao Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers