Xi Zhang

Computer Vision and Pattern Recognition · with Wu · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xi Zhang trusts overall

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

  1. Volker Blanz
  2. David Freedman
  3. Naomi S. Altman
  4. Alex Krizhevsky
  5. Corinna Cortes
  6. Rajkiran Gottumukkal
  7. Thomas Vetter
  8. Josh Tenenbaum
  9. Ammad Ali
  10. Vladimir Naumovich Vapnik

Who trusts Xi Zhang overall

  1. Jake Goldenfein
  2. Joy Buolamwini

Papers from Xi Zhang's perspective

Ordered by how strongly the researchers Xi Zhang 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. Support-Vector Networks
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A global geometric framework for nonlinear dimensionality reduction.

Their papers