Zhihong Liu

Artificial Intelligence · with Cattran · 2012–2019

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

Subfields

Whom Zhihong Liu trusts overall

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

  1. Cynthia Dwork

Papers from Zhihong Liu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Learning Multiple Layers of Features from Tiny Images
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Understanding deep learning requires rethinking generalization
  6. Deep Learning with Differential Privacy
  7. Regularization of Neural Networks using DropConnect
  8. Differentially Private Empirical Risk Minimization
  9. Differential Privacy
  10. Boosting and Differential Privacy

Their papers