Hailong Liu

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hailong Liu trusts overall

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

  1. Paul Smolensky
  2. Aapo Hyvärinen
  3. David E. Rumelhart
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Jonathan Masci
  7. Ian T. Jolliffe
  8. Erkki Oja
  9. Ronald J. Williams
  10. Zhuyun Chen

Who trusts Hailong Liu overall

  1. Ekim Yurtsever
  2. Jacob Lambert

Papers from Hailong Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Deep Architectures for AI

Their papers