Ru Zhang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ru Zhang trusts overall

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

  1. Jessica J. Fridrich
  2. Tomás Pevný
  3. Belhassen Bayar
  4. Kaiming He
  5. Karen Simonyan
  6. Jan Kodovský
  7. Sergey Ioffe
  8. Vojtech Holub
  9. Xavier Glorot
  10. Christian Szegedy

Papers from Ru Zhang's perspective

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

Their papers