Huaqing Min

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Huaqing Min trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)
  2. Lijuan Cao (in Management Science and Operations Research)
  3. Kate Saenko (in Computer Vision and Pattern Recognition)
  4. Robert P. Schumaker (in Management Science and Operations Research)
  5. Kyoung-jae Kim (in Artificial Intelligence)
  6. Hsinchun Chen (in Management Science and Operations Research)
  7. Brian Kulis (in Artificial Intelligence)
  8. Jeff Donahue (in Computer Vision and Pattern Recognition)
  9. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  10. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Who trusts Huaqing Min

  1. Weiwei Jiang (in Management Science and Operations Research)

Papers from Huaqing Min's perspective

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

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

Their papers