Jianhui Yu

Computational Mechanics · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianhui Yu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Charles Ruizhongtai Qi
  4. Alex Krizhevsky
  5. Sergey Ioffe
  6. Christian Szegedy
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Jianhui Yu's perspective

Ordered by how strongly the researchers Jianhui Yu 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers