Yong Li

Artificial Intelligence · with Zhang · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Li trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Jia Deng
  8. Ilya Sutskever
  9. Shaoqing Ren
  10. Christian Szegedy

Papers from Yong Li's perspective

Ordered by how strongly the researchers Yong Li 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. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers