Fei Wang

Artificial Intelligence · The Innovation · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Zonghan Wu
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Kyunghyun Cho
  10. Shengna Guo

Papers from Fei Wang's perspective

Ordered by how strongly the researchers Fei Wang 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. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers