Xuan Zhang

Computer Vision and Pattern Recognition · with Li · 2020–2022

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

Subfields

Whom Xuan Zhang trusts overall

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

  1. Paul Bergmann
  2. Kaiming He
  3. Thomas Schlegl
  4. Niv Cohen
  5. Hanqiu Deng
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. X. Zhang
  9. Liang-Chieh Chen
  10. Pramuditha Perera

Papers from Xuan Zhang's perspective

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

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

Their papers