Zongxin Yang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 577 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zongxin Yang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Sergey Ioffe
  8. Christian Szegedy
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Zongxin Yang overall

  1. Chieh Hubert Lin
  2. Yen-Chi Cheng
  3. Shenyuan Gao
  4. Chitwan Saharia
  5. Hsin-Ying Lee
  6. Chunluan Zhou
  7. Ho Kei Cheng
  8. Dongfang Liu

Papers from Zongxin Yang's perspective

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

Their papers