Xiang Xiang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 206 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Xiang Xiang trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Sergey Ioffe
  10. Diederik P. Kingma

Who trusts Xiang Xiang overall

  1. Hang Qi
  2. Weiyang Liu
  3. Yandong Wen
  4. Ying Zhang
  5. Qiang Meng
  6. Jiankang Deng
  7. Minchul Kim
  8. Bingyi Cao
  9. Matthew A. Brown
  10. Zhemin Zhang

Papers from Xiang Xiang's perspective

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

Their papers