Jun Lu

Natural Language Processing · with Zhang · 2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Lu trusts overall

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

  1. Philipp Koehn
  2. Andreas Stolcke
  3. Kenneth Heafield
  4. Robert C. Moore
  5. Chih-Wei Hsu
  6. Chris Dyer
  7. Michael J. Denkowski
  8. Franz Joseph Och
  9. Peter F. Brown
  10. Diederik P. Kingma

Who trusts Jun Lu overall

  1. Philipp Koehn

Papers from Jun Lu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers