Feng Nie

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 83 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Feng Nie trusts overall

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

  1. Matthew D. Zeiler
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Diederik P. Kingma
  6. Kyunghyun Cho
  7. Dzmitry Bahdanau
  8. Alex Krizhevsky
  9. Tomas Mikolov
  10. Richard Socher

Who trusts Feng Nie overall

  1. Ondrej Dusek
  2. Ziwei Ji
  3. Tal Schuster
  4. Hamza Harkous
  5. Ziwei Xu
  6. Andrea Galassi
  7. Wenliang Dai
  8. Ledell Yu Wu
  9. Nayeon Lee
  10. Shreyan Bakshi

Papers from Feng Nie's perspective

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

Their papers