Shifa Zhang

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shifa Zhang trusts overall

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

  1. Dianbo Liu
  2. Peter Richtárik
  3. H. Brendan McMahan
  4. Diederik P. Kingma

Who trusts Shifa Zhang overall

  1. Dianbo Liu

Papers from Shifa Zhang's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Federated Learning with Non-IID Data
  7. An Agent-based Federated Learning Object Search Service
  8. Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers