Jingzhou Yang

Artificial Intelligence · with He · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jingzhou Yang trusts overall

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

  1. Eliya Nachmani
  2. Yu Zhang
  3. Lior Wolf
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Naihan Li
  8. Bo Li
  9. Alex Graves
  10. Alex Krizhevsky

Who trusts Jingzhou Yang overall

  1. Xu Tan
  2. J. Yang
  3. Mutian He
  4. Lei He
  5. Tao Qin
  6. Frank K. Soong
  7. Tie-Yan Liu

Papers from Jingzhou Yang's perspective

Ordered by how strongly the researchers Jingzhou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers