Stephen Wan

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Wan trusts overall

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

  1. Regina Barzilay
  2. Chin-Yew Lin
  3. Colin Bannard
  4. Eduard H. Hovy
  5. William B. Dolan
  6. Ido Dagan
  7. Andrew M. Finch
  8. Kevin A. Hallgren
  9. Salim Roukos
  10. Lillian Lee

Who trusts Stephen Wan overall

  1. Hua He
  2. Wenpeng Yin
  3. Jonathan Berant
  4. Noah A. Smith
  5. Dipanjan Das
  6. Yangfeng Ji
  7. Ion Androutsopoulos
  8. Michael Heilman
  9. Jimmy J. Lin
  10. Wei Xu

Papers from Stephen Wan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Bleu: a Method for Automatic Evaluation of Machine Translation
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition

Their papers