Jia Zheng

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Zheng trusts overall

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

  1. Shuran Song
  2. Kaiming He
  3. I. Wald
  4. Geoffrey E. Hinton
  5. Yuhua Chen
  6. Alex Krizhevsky
  7. Timothy J. Purcell
  8. Shubham Tulsiani
  9. Ross B. Girshick
  10. Iro Armeni

Who trusts Jia Zheng overall

  1. Mike Roberts
  2. Huan Fu
  3. Nathan Paczan

Papers from Jia Zheng's perspective

Ordered by how strongly the researchers Jia Zheng 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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