Yu Chen

Signal Processing · with Wang · 2021

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 Yu Chen trusts overall

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

  1. Wei Ping
  2. Alexia Jolicoeur-Martineau
  3. Aäron van den Oord
  4. Jean-Marc Valin
  5. Wei-Chung Chu
  6. Diederik P. Kingma
  7. Ryan J. Prenger
  8. Ryuichi Yamamoto
  9. Kundan Kumar
  10. Nal Kalchbrenner

Papers from Yu Chen's perspective

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

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

Their papers