Zhou Lu

Artificial Intelligence · with Wang · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Zhou Lu trusts overall

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

  1. Matus Telgarsky
  2. Dmitry Yarotsky
  3. Kaiming He
  4. Nick Harvey
  5. Alex Krizhevsky
  6. X. Zhang
  7. Karen Simonyan
  8. Geoffrey E. Hinton
  9. Shaoqing Ren
  10. Yoshua Bengio

Who trusts Zhou Lu overall

  1. Patrick Kidger
  2. Hongzhou Lin
  3. Akiyoshi Sannai
  4. Xiao Zhang
  5. Kartik Ahuja
  6. Wang-Cheng Kang
  7. Quanquan Gu
  8. Mingxing Tan
  9. Stefanie Sabrina Jegelka
  10. Terry Lyons

Papers from Zhou Lu's perspective

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

Their papers