Derui Wang

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Derui Wang trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Nicolas Papernot
  4. Geoffrey E. Hinton
  5. Ian J. Goodfellow
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Simon S. Haykin

Who trusts Derui Wang overall

  1. Eugene Bagdasarian

Papers from Derui Wang's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Learning Multiple Layers of Features from Tiny Images
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Intriguing properties of neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Explaining and Harnessing Adversarial Examples
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers