Ying-Hong Chan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ying-Hong Chan trusts overall

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

  1. Chin-Yew Lin
  2. Michael J. Denkowski
  3. Michael Heilman
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Xinya Du
  7. Geoffrey E. Hinton
  8. Ashish Vaswani
  9. Linfeng Song
  10. Junyoung Chung

Who trusts Ying-Hong Chan overall

  1. Daich Azuma
  2. Antoine Yang
  3. Taiki Miyanishi
  4. Antoine Miech
  5. Shuhei Kurita

Papers from Ying-Hong Chan's perspective

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

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

Their papers