Yuan Zong

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Zong trusts overall

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

  1. Wei-Long Zheng
  2. L. Eon Bottou
  3. Rodrigo Malacarne
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Yoshua Bengio
  7. Ronald J. Williams
  8. Bao-Liang Lu
  9. Alex Krizhevsky
  10. Masashi Sugiyama

Who trusts Yuan Zong overall

  1. Peixiang Zhong
  2. Yi Ding

Papers from Yuan Zong's perspective

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

Their papers