Xiaoyun Zhang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 323 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoyun Zhang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Simon Niklaus
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Sergey Ioffe
  8. Jimmy Ba
  9. X. Zhang
  10. Yann LeCun

Who trusts Xiaoyun Zhang overall

  1. Zhewei Huang
  2. Myungsub Choi
  3. Simon Niklaus

Papers from Xiaoyun Zhang's perspective

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

Their papers