Xun Zhu

Molecular Biology · with Ching · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Zhu trusts overall

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

  1. Yann LeCun
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Minoru Kanehisa
  5. Patrick Breheny
  6. Nitish Srivastava
  7. Alex Krizhevsky
  8. Ilya Sutskever

Who trusts Xun Zhu overall

  1. Wan Zhu

Papers from Xun Zhu's perspective

Ordered by how strongly the researchers Xun Zhu 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. Dropout: a simple way to prevent neural networks from overfitting
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers