Jingyun Yang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingyun Yang trusts overall

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

  1. Diederik P. Kingma
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Sergey Levine
  5. Alex Graves
  6. Ronald J. Williams
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Chelsea Finn
  10. J. Urgen Schmidhuber

Who trusts Jingyun Yang overall

  1. Sven Gronauer
  2. Jiechuan Jiang

Papers from Jingyun Yang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers