Ying Shen

Artificial Intelligence · with Xu · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Shen trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Kaiming He
  7. Chin-Yew Lin
  8. Yann LeCun
  9. Jimmy Ba
  10. Alex Graves

Who trusts Ying Shen overall

  1. Bo Li

Papers from Ying Shen's perspective

Ordered by how strongly the researchers Ying Shen 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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers