Yang Wang

Artificial Intelligence · with Brown · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Wang trusts overall

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

  1. Cynthia Dwork
  2. Jihun Hamm
  3. Zhanglong Ji
  4. Kamalika Chaudhuri
  5. Liyang Xie
  6. Frank McSherry
  7. Adam D. Smith
  8. R. Caruana
  9. Charles Peter Elkan
  10. Kobbi Nissim

Papers from Yang Wang's perspective

Ordered by how strongly the researchers Yang 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. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Multitask Learning
  7. Long Short-Term Memory
  8. Calibrating Noise to Sensitivity in Private Data Analysis
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers