Li Chen

Artificial Intelligence · with Chau · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Li Chen trusts overall

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

  1. Alex Krizhevsky
  2. Nicolas Papernot
  3. Ian J. Goodfellow

Who trusts Li Chen overall

  1. Ajmal Saeed Mian
  2. Naveed Akhtar

Papers from Li Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Intriguing properties of neural networks
  5. Explaining and Harnessing Adversarial Examples
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Adversarial examples in the physical world
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers