Jie Yang

Artificial Intelligence · with Dong · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 261 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Yang trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Ronan Collobert
  6. Ilya Sutskever
  7. Ruslan Salakhutdinov
  8. Nitish Srivastava
  9. Diederik P. Kingma
  10. J. Urgen Schmidhuber

Who trusts Jie Yang overall

  1. Hang Yan
  2. Xiaoya Li
  3. Minlong Peng
  4. Fengshun Xiao
  5. Junjie Pan
  6. Sebastian Ruder
  7. Xiaonan Li
  8. Yanzeng Li
  9. A. Levy
  10. Bo Deng

Papers from Jie Yang's perspective

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

Their papers