Jingtao Yao

Artificial Intelligence · 1998–2017

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jingtao Yao trusts overall

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

  1. David E. Rumelhart
  2. Yiyu Yao
  3. Andreas S. Weigend
  4. Yoshua Bengio
  5. Kyunghyun Cho
  6. Qinghua Hu
  7. Geoffrey E. Hinton
  8. Ilya Sutskever
  9. Witold Pedrycz
  10. Lotfi A. Zadeh

Who trusts Jingtao Yao overall

  1. Aaron Fisher
  2. Jacinta Chan Phooi M’ng
  3. Young‐Seuk Park
  4. Cynthia Rudin
  5. M. Gevrey
  6. Eugen Diaconescu
  7. Matthieu Garcin
  8. M. Mehralizadeh
  9. Francesca Dominici
  10. Sovan Lek

Papers from Jingtao Yao's perspective

Ordered by how strongly the researchers Jingtao Yao 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers