Xiao Yang

Computer Vision and Pattern Recognition · with Kwitt · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 78 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Yang trusts overall

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

  1. Yarin Gal
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. John Ashburner
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Zoubin Ghahramani
  8. Nitish Srivastava
  9. Alexey Dosovitskiy
  10. Jan Modersitzki

Who trusts Xiao Yang overall

  1. Arvid Lundervold
  2. Guha Balakrishnan
  3. Amy Zhao
  4. Yingzhen Li
  5. Xingyu Jiang
  6. Jiayi Ma
  7. Grant Haskins
  8. Adrian V. Dalca
  9. Andreas K. Maier
  10. Shengyu Zhao

Papers from Xiao Yang's perspective

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

Their papers