Ning Zhong

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Zhong trusts overall

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

  1. Thorsten Joachims
  2. Jiawei Han
  3. Stephen E. Robertson
  4. Robert E. Schapire
  5. Jian Pei
  6. Corinna Cortes
  7. Yiming Yang
  8. Alexander Maedche
  9. Karen Spärck Jones
  10. Xifeng Yan

Papers from Ning Zhong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers