Hai Hu

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 113 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hai Hu trusts overall

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

  1. Christopher D. Manning
  2. Bill MacCartney
  3. Jacob Devlin
  4. Gabor Angeli
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Samuel R. Bowman
  8. Diederik P. Kingma
  9. Stephen G. Pulman
  10. Ilya Sutskever

Who trusts Hai Hu overall

  1. Kyle Richardson
  2. Koustuv Sinha
  3. Larry Moss
  4. Swarnadeep Saha
  5. Gregor Betz
  6. Ashish Sabharwal
  7. Zhengyan Zhang
  8. Nora Kassner
  9. Lu Li
  10. Kaj Bostrom

Papers from Hai Hu's perspective

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

Their papers