F. Liu

Artificial Intelligence · with Zhou · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 125 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom F. Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Yann LeCun
  9. Alec Radford
  10. Tomas Mikolov

Who trusts F. Liu overall

  1. Yichen Xu
  2. Maliheh Izadi
  3. Daya Guo
  4. Yanqiao Zhu
  5. Roberta Gismondi
  6. Canwen Xu

Papers from F. Liu's perspective

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

Their papers