Jun Yan

Artificial Intelligence · 5 papers · 2019–2025

A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Yan trusts overall

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

  1. Geoffrey E. Hinton
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Christopher D. Manning
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. J. Urgen Schmidhuber
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Radford M. Neal

Who trusts Jun Yan overall

  1. Ziqi Wang

Papers from Jun Yan's perspective

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

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

Their papers