Jing Zhang

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2008–2023

A researcher in the Science corpus: 20 papers; trusts 2,383 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Zhang trusts overall

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

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

Who trusts Jing Zhang overall

  1. Di Wang
  2. Jiadong Liang
  3. Dacheng Tao
  4. Yufei Xu
  5. Haoyu He
  6. Jie Tang
  7. Qiming Zhang
  8. Ming Tao
  9. Wenjie Pei
  10. Kai Zhu

Papers from Jing Zhang's perspective

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

Their papers