Chao Zhou

Artificial Intelligence · with Yang · 2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Zhou trusts

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

  1. J. Ross Quinlan (in Artificial Intelligence)
  2. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Chao Zhou's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. Visualizing and Understanding Convolutional Networks
  3. Support-Vector Networks
  4. A Survey on Transfer Learning
  5. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers