Fei Huang

Artificial Intelligence · 2004–2025

A researcher in the Science corpus: 71 papers; trusts 863 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Hal Daumé Iii
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Jacob Devlin
  10. Jimmy Ba

Who trusts Fei Huang overall

  1. Joseph P. Turian
  2. John Blitzer
  3. Ronan Collobert
  4. Linghai Xie
  5. Yoshua Bengio
  6. Sham M. Kakade
  7. Lev-Arie Ratinov
  8. Jason Aaron Edward Weston
  9. Chenguang Zhu
  10. Nader Akoury

Papers from Fei Huang's perspective

Ordered by how strongly the researchers Fei Huang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  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