Zining Xu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zining Xu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. X. Zhang
  5. Ilya Sutskever
  6. Jiankang Deng
  7. Shaoqing Ren
  8. Xiangyu Zhang
  9. Yoshua Bengio
  10. Ross B. Girshick

Papers from Zining Xu's perspective

Ordered by how strongly the researchers Zining Xu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers