Li Yuan

Artificial Intelligence · Conference on Empirical Methods in Natural Language Processing · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 259 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Yuan trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Yann LeCun
  9. Haotian Liu
  10. Karen Simonyan

Papers from Li Yuan's perspective

Ordered by how strongly the researchers Li Yuan 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  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