Jun Xie

Artificial Intelligence · with Liu · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Xie trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Philipp Koehn
  5. Matthew D. Zeiler
  6. Ilya Sutskever
  7. Kyunghyun Cho
  8. Dzmitry Bahdanau
  9. Jimmy Ba
  10. Alex Krizhevsky

Papers from Jun Xie's perspective

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

Their papers