Bei Li

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bei Li trusts overall

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

  1. Rico Sennrich
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yoshua Bengio
  6. Ashish Vaswani
  7. Jimmy Ba
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Desmond Elliott

Who trusts Bei Li overall

  1. Orevaoghene Ahia
  2. Jianping Gou
  3. Tete Xiao
  4. Ondrej Bojar
  5. Sheng Shen
  6. Rohit Girdhar
  7. Toan Q. Nguyen
  8. Zi-Mei Yao
  9. Jungo Kasai
  10. Julia Kreutzer

Papers from Bei Li's perspective

Ordered by how strongly the researchers Bei Li 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers