Hao Liu

Artificial Intelligence · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Liu trusts overall

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

  1. Matthew D. Zeiler
  2. Geoffrey E. Hinton
  3. Chenyue Wu
  4. Diederik P. Kingma
  5. Jake Snell
  6. Rob Fergus
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Yoshua Bengio
  10. G. Fiquet

Who trusts Hao Liu overall

  1. Cynthia Rudin
  2. Mark T. Keane
  3. Zhi Chen
  4. Wieland Brendel
  5. Eoin M. Kenny
  6. Alexey Ignatiev
  7. Peter Hase
  8. Nicholas Carlini
  9. Haizhong Zheng
  10. Riccardo Guidotti

Papers from Hao Liu's perspective

Ordered by how strongly the researchers Hao 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers