Ning Kang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 139 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Kang trusts overall

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

  1. Diederik P. Kingma
  2. David John Cameron MacKay
  3. Laurent Dinh
  4. Geoffrey E. Hinton
  5. Jonathan Ho
  6. Alex Krizhevsky
  7. J. Duda
  8. Yoshua Bengio
  9. Kaiming He
  10. Radford M. Neal

Who trusts Ning Kang overall

  1. Siyu Wang

Papers from Ning Kang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers