Peng Shi

Artificial Intelligence · with Lin · 2019–2022

A researcher in the Science corpus: 7 papers; trusts 126 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Shi trusts overall

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

  1. Jimmy J. Lin
  2. Jacob Devlin
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Kyunghyun Cho
  9. Alec Radford
  10. Tomas Mikolov

Who trusts Peng Shi overall

  1. Sean MacAvaney
  2. Xiaodong Yu
  3. Duc Viet Bui
  4. Ben Zhou
  5. Orion Weller
  6. Nafise Sadat Moosavi
  7. Wenxuan Zhou
  8. Shizhe Chen
  9. Alexis Ross
  10. Monica Agrawal

Papers from Peng Shi's perspective

Ordered by how strongly the researchers Peng Shi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers