Yuk Wah Wong

Natural Language Processing · 2005–2007

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 89 researchers here, as inferred from the citation graph.

Subfields

Whom Yuk Wah Wong trusts overall

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

  1. Raymond J. Mooney
  2. David Chiang
  3. Franz Joseph Och
  4. Luke S. Zettlemoyer
  5. Ruifang Ge
  6. Michael Collins
  7. Jorge Nocedal
  8. Gregory Kuhlmann and Peter Stone and Raymond J. Mooney and Shavlik
  9. Kenji Yamada
  10. Hermann Ney

Who trusts Yuk Wah Wong overall

  1. Raymond J. Mooney
  2. Jayant Krishnamurthy
  3. Luke S. Zettlemoyer
  4. Percy Liang
  5. Yoav Artzi
  6. Tom Kwiatkowski
  7. Li Dong
  8. Mirella Lapata
  9. Robin Jia
  10. Jacob Andreas

Papers from Yuk Wah Wong's perspective

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

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

Their papers