Hengjie Song

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hengjie Song trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)
  2. Kate Saenko (in Computer Vision and Pattern Recognition)
  3. Brian Kulis (in Artificial Intelligence)
  4. Jeff Donahue (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Kaiming He (in Computer Vision and Pattern Recognition)
  8. Sinno Jialin Pan (in Artificial Intelligence)
  9. Kilian Q. Weinberger (in Computer Vision and Pattern Recognition)

Papers from Hengjie Song's perspective

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

  1. A Survey on Transfer Learning
  2. Adapting Visual Category Models to New Domains
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Distance Metric Learning for Large Margin Nearest Neighbor Classification
  6. Gradient-based learning applied to document recognition
  7. Geodesic flow kernel for unsupervised domain adaptation
  8. Correcting Sample Selection Bias by Unlabeled Data
  9. A Kernel Two-Sample Test
  10. Dataset Shift in Machine Learning

Their papers