Quan Zhou

Artificial Intelligence · with Chen · 2014

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Quan Zhou trusts overall

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

  1. Trevor J. Hastie
  2. Olivier Chapelle
  3. Jerome H. Friedman
  4. Martin Jaggi
  5. Bernhard Schölkopf
  6. Robert Tibshirani
  7. Shai Shalev-Shwartz
  8. Hui Zou
  9. Corinna Cortes
  10. J. Langford

Who trusts Quan Zhou overall

  1. Lieven Billiet
  2. S. Van Huffel

Papers from Quan Zhou's perspective

Ordered by how strongly the researchers Quan Zhou 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers