Guanghui Zhou

Industrial and Manufacturing Engineering · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guanghui Zhou trusts overall

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

  1. E. Glaessgen
  2. Diederik P. Kingma
  3. Fei Tao
  4. Michael W. Grieves
  5. Kaiming He
  6. Jimmy Ba
  7. Peng Zhou
  8. Gerald L. Knapp
  9. X. Zhang
  10. Ray Y. Zhong

Papers from Guanghui Zhou's perspective

Ordered by how strongly the researchers Guanghui Zhou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers