Nana Liu

Finance · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Nana Liu trusts overall

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

  1. Ioannis A. Pissourios
  2. Jerome H. Friedman
  3. Juan Carlos Reboredo
  4. L. Pham
  5. James Bergstra
  6. Leo Breiman
  7. Chih-Jen Lin
  8. Joanna I. Lewis
  9. Simon S. Haykin
  10. Frank Hutter

Who trusts Nana Liu overall

  1. L. Pham

Papers from Nana Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Practical Bayesian Optimization of Machine Learning Algorithms
  5. Support-Vector Networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Bagging Predictors
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers