Sha Li

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sha Li trusts overall

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

  1. Heng Ji
  2. Xinya Du
  3. Jake Snell
  4. Ralph Grishman
  5. Sung Whan Yoon
  6. Geoffrey E. Hinton
  7. Vered Shwartz
  8. Michael Lewis
  9. Colin Raffel
  10. Yoshua Bengio

Who trusts Sha Li overall

  1. Xingyao Wang
  2. Yaojie Lu
  3. D'idac Sur'is
  4. Yuchen Zhuang

Papers from Sha Li's perspective

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

Their papers