Yang Luo

IEEE Wireless Communications Letters · with Luo · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yang Luo trusts

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

  1. Tim O'Shea (in Artificial Intelligence)
  2. Nathan E. West (in Artificial Intelligence)

Papers from Yang Luo's perspective

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

  1. Deep architectures for modulation recognition (International Symposium on Dynamic Spectrum Access Networks)
  2. Long Short-Term Memory
  3. Deep Learning
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Spatial Transformer Networks
  6. Learning the speech front-end with raw waveform CLDNNs
  7. Radio Machine Learning Dataset Generation with GNU Radio
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Going deeper with convolutions

Their papers