Liang Tian

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Tian trusts overall

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

  1. Jörg Tiedemann
  2. Philipp Koehn
  3. Franz Joseph Och
  4. Hermann Ney
  5. Philip Resnik
  6. Marcello Federico
  7. Stephan Vogel
  8. Philip Williams
  9. Peter F. Brown
  10. Rico Sennrich

Who trusts Liang Tian overall

  1. Shuhao Gu
  2. Yang Feng
  3. Jianze Liang
  4. Jiali Zeng

Papers from Liang Tian's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  8. A Systematic Comparison of Various Statistical Alignment Models
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers