Kang Li

with Chen · 2017–2019

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

Whom Kang Li trusts overall

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

  1. Yann LeCun
  2. Nicolas Papernot
  3. Ian J. Goodfellow

Papers from Kang Li's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Explaining and Harnessing Adversarial Examples
  5. Gradient-based learning applied to document recognition
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. The mnist database of handwritten digits

Their papers