Yingting Wu

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 215 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yingting Wu trusts overall

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

  1. Kyunghyun Cho
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Michael Collins
  6. Rico Sennrich
  7. Christopher D. Manning
  8. Minh-Thang Luong
  9. Diederik P. Kingma
  10. Philipp Koehn

Who trusts Yingting Wu overall

  1. Felix Stahlberg

Papers from Yingting Wu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers