Ling Liu

Artificial Intelligence · with Mao · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ling Liu trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Dzmitry Bahdanau
  5. Kyunghyun Cho
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Rico Sennrich
  9. Ian H. Witten

Who trusts Ling Liu overall

  1. Jason Wei

Papers from Ling Liu's perspective

Ordered by how strongly the researchers Ling 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers