Liqiang He

Artificial Intelligence · 2014

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

Subfields

Whom Liqiang He trusts

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

  1. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Liqiang He's perspective

Ordered by how strongly the researchers Liqiang He 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. ImageNet: A large-scale hierarchical image database
  4. GradientBased Learning Applied to Document Recognition
  5. Large Scale Distributed Deep Networks
  6. Building high-level features using large scale unsupervised learning
  7. What is the best multi-stage architecture for object recognition?
  8. Multi-column deep neural networks for image classification
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Improving the speed of neural networks on CPUs

Their papers