Feng Nan

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Nan trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Michael I. Jordan
  4. Wojciech Kryscinski
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Adam Coates
  9. Andrew Y. Ng
  10. Yann LeCun

Who trusts Feng Nan overall

  1. Tom Véniat
  2. Mirazul Haque
  3. Nayeon Lee
  4. David Wan
  5. Ludovic Denoyer
  6. Mengyao Cao
  7. Tomasz Korbak
  8. Anki Chauhan
  9. Junyi Li
  10. Daniel King

Papers from Feng Nan's perspective

Ordered by how strongly the researchers Feng Nan 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers