Ying Julie Zhu

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Julie Zhu trusts overall

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

  1. Alex Krizhevsky
  2. Dan Claudiu Ciresan
  3. Chih-Jen Lin
  4. Geoffrey E. Hinton
  5. Yann LeCun

Who trusts Ying Julie Zhu overall

  1. Yicheng Li
  2. Ya-dong Xue

Papers from Ying Julie Zhu's perspective

Ordered by how strongly the researchers Ying Julie Zhu 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. Dropout: a simple way to prevent neural networks from overfitting
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Deep Learning
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers