Fang Zong

2013–2014

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

Whom Fang Zong trusts overall

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

  1. Daniel Eaton
  2. Kara M. Kockelman
  3. Kevin P. Murphy

Papers from Fang Zong's perspective

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

  1. I and J
  2. Bayesian structure learning using dynamic programming and MCMC
  3. Driver injury severity: an application of ordered probit models. (Accident Analysis and Prevention)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers