Ying Chen

Artificial Intelligence · with Dong · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ying Chen trusts overall

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

  1. Heiga Zen
  2. Paul P. G. Boersma
  3. Daniel W. Griffin
  4. Alan W. Black

Who trusts Ying Chen overall

  1. Frank K. Soong

Papers from Ying Chen's perspective

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

  1. WaveNet: A Generative Model for Raw Audio
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Unit selection in a concatenative speech synthesis system using a large speech database

Their papers