Guiying Zhang

2018

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

Whom Guiying Zhang trusts overall

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

  1. Xavier Glorot
  2. Olaf Ronneberger
  3. Fuyong Xing
  4. Yoshua Bengio
  5. Yousef Al-Kofahi

Papers from Guiying Zhang's perspective

Ordered by how strongly the researchers Guiying 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. Fully convolutional networks for semantic segmentation
  4. Understanding the difficulty of training deep feedforward neural networks
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers