Wei Cai

Artificial Intelligence · IEEE Access · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Cai trusts overall

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

  1. Anthony Dewayne Hunt
  2. Adam Back
  3. Battista Biggio
  4. Ian J. Goodfellow
  5. Blaine Nelson
  6. Michael Brückner
  7. Nicolas Papernot
  8. Pavel Laskov
  9. John R. Douceur
  10. David Chaum

Papers from Wei Cai's perspective

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

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

Their papers