Hainan Xu

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 101 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Hainan Xu trusts overall

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

  1. Philipp Koehn
  2. Daniel Povey
  3. Jörg Tiedemann
  4. Vijayaditya Peddinti
  5. Yoshua Bengio
  6. Chris Dyer
  7. Geoffrey E. Hinton
  8. Anthony Rousseau
  9. Tomas Mikolov
  10. Ilya Sutskever

Who trusts Hainan Xu overall

  1. Huda Khayrallah
  2. Philipp Koehn
  3. Viktor Hangya
  4. Vishrav Chaudhary
  5. Francisco (Paco) Guzmán
  6. Myle Ott
  7. François Hernandez
  8. Boliang Zhang
  9. Ethan Perez
  10. Yuqing Tang

Papers from Hainan Xu's perspective

Ordered by how strongly the researchers Hainan Xu 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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