Kai Hong

Artificial Intelligence · with Nenkova · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Hong trusts overall

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

  1. Chin-Yew Lin
  2. Ani Nenkova
  3. Ryan T. McDonald
  4. Alex Kulesza
  5. Hui-Ching Lin
  6. Andreas Stolcke
  7. Thorsten Joachims
  8. Lucy Vanderwende
  9. Xiaojun Wan
  10. Günes Erkan

Who trusts Kai Hong overall

  1. Asli Celikyilmaz
  2. Mahnaz Koupaee
  3. Mahak Gambhir
  4. Zi-Yi Dou
  5. Max Grusky
  6. Yixin Liu
  7. Thomas Scialom
  8. Wojciech Kryscinski
  9. Junyi Jessy Li
  10. Antoine Bosselut

Papers from Kai Hong's perspective

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

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

Their papers