Fei Liu

Artificial Intelligence · with Li · 2018–2020

A researcher in the Science corpus: 8 papers; trusts 427 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Liu trusts overall

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

  1. Chin-Yew Lin
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Christopher D. Manning
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Kaiming He
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Fei Liu overall

  1. Ming Zhong
  2. Ramakanth Pasunuru
  3. Chih-Wen Goo
  4. Eric Chu
  5. Pengfei Liu
  6. Kristjan Arumae
  7. Angela Fan
  8. Joshua Maynez
  9. Wang Wenbo
  10. Mohit Bansal

Papers from Fei Liu's perspective

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

Their papers