Nan Wu

Artificial Intelligence · with Farokhi · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Wu trusts overall

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

  1. Jaideep Vaidya
  2. Kamalika Chaudhuri
  3. Reza Shokri
  4. Ohad Shamir
  5. Wenliang Du
  6. Cynthia Dwork
  7. Jun Zhang
  8. Le Trieu Phong
  9. Chris Clifton
  10. Nathan Dowlin

Papers from Nan Wu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. The Algorithmic Foundations of Differential Privacy
  5. Learning Multiple Layers of Features from Tiny Images
  6. Privacy Preserving Data Mining
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers