Dekai Wu

Natural Language Processing · 2007–2009

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 21 citations into it
• Artificial Intelligence — 17 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Dekai Wu trusts overall

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

1. Franz Joseph Och
2. Philipp Koehn
3. Andreas Stolcke
4. Hermann Ney
5. Satanjeev Banerjee
6. Bernhard Schölkopf
7. Matthew G. Snover
8. Peter F. Brown
9. David Chiang
10. Christoph Tillmann

Who trusts Dekai Wu overall

1. Yonatan Belinkov
2. R. Pressat
3. Robert C. Edgar
4. Timo Lassmann
5. Gary D. Stormo

Papers from Dekai Wu's perspective

Ordered by how strongly the researchers Dekai Wu 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Alignment (2009) — 419 citations
• Improving Statistical Machine Translation Using Word Sense Disambiguation (2007) — 410 citations