Dekun Wu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dekun Wu trusts overall

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

  1. Paolo Ferragina
  2. Antoine Bordes
  3. Mandar Joshi
  4. Wen-tau Yih
  5. Kurt Dewitt Bollacker
  6. Shiliang Zhang
  7. Mo Yu

Who trusts Dekun Wu overall

  1. Pat Verga

Papers from Dekun Wu's perspective

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

Their papers