Pengfei Yu

Artificial Intelligence · with Li · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Pengfei Yu trusts overall

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

  1. Geoffrey E. Hinton
  2. J. Urgen Schmidhuber
  3. Yoshua Bengio
  4. Alex Graves
  5. Xiao Ding
  6. Daojian Zeng
  7. Yann LeCun
  8. Tomas Mikolov
  9. Dang Lien Minh
  10. Diederik P. Kingma

Who trusts Pengfei Yu overall

  1. Xu Han
  2. Ze Hu
  3. Tianyu Gao
  4. Yiqi Zhao
  5. Shaoxiong Ji
  6. Zhiyuan Liu
  7. Wenpeng Yin
  8. Zhengyan Zhang
  9. Chengwei Qin
  10. Christoph Alt

Papers from Pengfei Yu's perspective

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

Their papers