Pengfei Yu

Artificial Intelligence · with Ji · 2021

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 3 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. Max Welling
  3. Heng Ji
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Yubo Chen
  8. Oriol Vinyals
  9. Kaiming He
  10. Zhizhong Li

Who trusts Pengfei Yu overall

  1. Minqian Liu
  2. Shiyu Chang

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. 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers