Yang Wang

Artificial Intelligence · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Wang trusts overall

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

  1. Alex Graves
  2. Ilya Sutskever

Papers from Yang Wang's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Generating Sequences With Recurrent Neural Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  8. Learning long-term dependencies with gradient descent is difficult
  9. Recurrent Neural Network Regularization
  10. Gradient-based learning applied to document recognition

Their papers