Cuiping Li

Artificial Intelligence · AAAI Conference on Artificial Intelligence · 2013–2024

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cuiping Li trusts overall

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

  1. Tao Yu
  2. Noam Shazeer
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. Peter Shaw
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ashish Vaswani
  9. Alex Krizhevsky
  10. J. Urgen Schmidhuber

Papers from Cuiping Li's perspective

Ordered by how strongly the researchers Cuiping Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers