Lili Zhu

Current Research in Food Science · 2021

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 Lili Zhu trusts overall

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

  1. Robert Hecht-Nielsen
  2. J. Zurada
  3. Evan Shelhamer
  4. Shuxiang Fan
  5. Miroslav Kubat
  6. Jonathan Long
  7. Martin Krzywinski
  8. Alex Krizhevsky
  9. Geoffrey E. Hinton
  10. Changying Li

Papers from Lili Zhu's perspective

Ordered by how strongly the researchers Lili Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Fully convolutional networks for semantic segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Support-Vector Networks
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers