Chunfang Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chunfang Liu trusts

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

  1. Judy Hoffman (in Artificial Intelligence)
  2. Trevor Darrell (in Artificial Intelligence)
  3. Kate Saenko (in Artificial Intelligence)
  4. Qiang Yang (in Artificial Intelligence)
  5. Victor S. Lempitsky (in Computer Vision and Pattern Recognition)
  6. Eric Tzeng (in Artificial Intelligence)

Papers from Chunfang Liu's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. ImageNet classification with deep convolutional neural networks
  3. A Survey on Transfer Learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  6. How transferable are features in deep neural networks?
  7. Gradient-based learning applied to document recognition
  8. Wasserstein GAN
  9. Unsupervised Domain Adaptation by Backpropagation
  10. Learning Transferable Features with Deep Adaptation Networks

Their papers