Wei Yu

Computer Networks and Communications · IEEE Access · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Wei Yu trusts overall

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

  1. J. Stankovic
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Craig Gentry
  6. Yuyi Mao
  7. Ala Al-Fuqaha
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Mamta Agiwal

Who trusts Wei Yu overall

  1. William Grant Hatcher
  2. Laura Erhan
  3. Oludare Isaac Abiodun

Papers from Wei Yu's perspective

Ordered by how strongly the researchers Wei Yu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers