Lei Lin

Natural Language Processing · with Liu · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Lin trusts overall

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

  1. Richard Socher
  2. Tomas Mikolov
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoon Kim
  7. George A. Miller
  8. Heng Ji
  9. Christopher D. Manning
  10. Ronan Collobert

Who trusts Lei Lin overall

  1. Qian Chen
  2. Duyu Tang
  3. Octavian-Eugen Ganea
  4. Ledell Yu Wu
  5. Jing Qian
  6. Tao Shen
  7. Yasumasa Onoe
  8. Xiao-Dan Zhu
  9. Bing Qin
  10. Nitish Gupta

Papers from Lei Lin's perspective

Ordered by how strongly the researchers Lei Lin 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers