Guoguang Rong

Engineering · 2020

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

Whom Guoguang Rong trusts overall

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

  1. Paul Sajda
  2. Arthur Christopoulos

Papers from Guoguang Rong's perspective

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

  1. Machine learning for detection and diagnosis of disease.
  2. Data Mining Practical Machine Learning Tools and Techniques
  3. Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers