Fei Sun

Artificial Intelligence · International Conference on Information and Knowledge Management · 2019–2022

A researcher in the Science corpus: 7 papers; trusts 224 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Sun trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ruslan Salakhutdinov
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Yehuda Koren
  10. Sepp Hochreiter

Who trusts Fei Sun overall

  1. Junliang Yu
  2. Kun Zhou
  3. Yupeng Hou
  4. Wayne Xin Zhao
  5. Gianni Brauwers
  6. Hongzhi Yin
  7. Jun Xu
  8. Vojtěch Vančura
  9. Pengyu Zhao
  10. Liwei Wu

Papers from Fei Sun's perspective

Ordered by how strongly the researchers Fei Sun 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers