Fei Li

Artificial Intelligence · with Ji · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Li trusts overall

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

  1. Geoffrey E. Hinton
  2. John C. Duchi
  3. Christopher D. Manning
  4. George A. Miller
  5. Sepp Hochreiter
  6. Yoshua Bengio
  7. Guodong Zhou
  8. Olivier Bodenreider
  9. Alex Krizhevsky
  10. Qi Li

Who trusts Fei Li overall

  1. Markus Eberts
  2. Giannis Bekoulis
  3. Adrian Ulges
  4. Johannes Deleu
  5. Meishan Zhang

Papers from Fei Li's perspective

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

Their papers