Lanyun Zhu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lanyun Zhu trusts overall

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

  1. Liang-Chieh Chen
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Lanyun Zhu overall

  1. Huyong Wang
  2. Haoxuan Qu
  3. Huisi Wu

Papers from Lanyun Zhu's perspective

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

Their papers