Hsin-Yuan Huang

Artificial Intelligence · Nature Communications · 2020–2022

A researcher in the Science corpus: 9 papers; trusts 42 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hsin-Yuan Huang trusts overall

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

  1. Scott Aaronson
  2. John Preskill
  3. S. White
  4. W. Hoeffding
  5. Maria Schuld
  6. Ulrich Schollwoeck
  7. M. B. Hastings
  8. Kevin P. Murphy
  9. Trevor J. Hastie
  10. Xun Gao

Who trusts Hsin-Yuan Huang overall

  1. M. Cerezo
  2. Andreas Elben
  3. Richard Kueng
  4. Guillaume Verdon
  5. Steven T. Flammia
  6. Zhenyu Cai
  7. John Preskill
  8. Ryan Babbush
  9. Lukasz Cincio
  10. Andrew J. Daley

Papers from Hsin-Yuan Huang's perspective

Ordered by how strongly the researchers Hsin-Yuan Huang 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers