Liangqun Lu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Liangqun Lu trusts overall

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

  1. Yoshua Bengio
  2. Peter J. Rousseeuw
  3. Jerome H. Friedman

Who trusts Liangqun Lu overall

  1. Nimrod Rappoport

Papers from Liangqun Lu's perspective

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

  1. Learning Deep Architectures for AI
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Scikit-learn: Machine Learning in Python
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers