Anzhu Yu

Media Technology · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anzhu Yu trusts overall

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

  1. Jon Atli Benediktsson
  2. Thorsten Joachims
  3. Wei Li
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Yuliya Tarabalka
  7. Yushi Chen
  8. Pedram Ghamisi
  9. Alex Krizhevsky
  10. Oriol Vinyals

Papers from Anzhu Yu's perspective

Ordered by how strongly the researchers Anzhu Yu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers