Ye Ouyang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ye Ouyang trusts

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

  1. Cynthia Dwork (in Artificial Intelligence)
  2. Yang Liu (in Artificial Intelligence)

Papers from Ye Ouyang's perspective

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

  1. Explaining and Harnessing Adversarial Examples
  2. Communication-Efficient Learning of Deep Networks from Decentralized Data
  3. Privacy-preserving deep learning
  4. 3D ShapeNets: A deep representation for volumetric shapes
  5. Differential Privacy: A Survey of Results
  6. Unsupervised Learning by Predicting Noise
  7. Collective Classification in Network Data
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  10. Multiparty Computation from Somewhat Homomorphic Encryption

Their papers