Di Wu

Computer Networks and Communications · IEEE Transactions on Vehicular Technology · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Di Wu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Richard S. Sutton

Papers from Di Wu's perspective

Ordered by how strongly the researchers Di Wu 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Human-level control through deep reinforcement learning
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers