Hairong Liu

Artificial Intelligence · with Satheesh · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hairong Liu trusts overall

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

  1. Alex Graves
  2. Ilya Sutskever
  3. William Chan
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Oriol Vinyals
  7. Dzmitry Bahdanau
  8. Alex Auvolat
  9. Quoc V. Le
  10. Navdeep Jaitly

Who trusts Hairong Liu overall

  1. Dong Yu
  2. Albert Zeyer
  3. Kartik Audhkhasi
  4. Jinyu Li
  5. Gakuto Kurata
  6. Awni Y. Hannun
  7. Kazuki Irie
  8. Brian Kingsbury
  9. Ralf Schlüter
  10. George Saon

Papers from Hairong Liu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers