Jiangyan Yi

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jiangyan Yi trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Oriol Vinyals
  4. Alex Graves
  5. Ilya Sutskever
  6. Yuxuan Wang
  7. Diederik P. Kingma
  8. Dzmitry Bahdanau
  9. Aäron van den Oord
  10. Jan Chorowski

Who trusts Jiangyan Yi overall

  1. Jinyu Li
  2. Tara N. Sainath
  3. Peidong Wang

Papers from Jiangyan Yi's perspective

Ordered by how strongly the researchers Jiangyan Yi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers