Jun Cheng

Computer Vision and Pattern Recognition · IEEE Transactions on Medical Imaging · 2010–2019

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Cheng trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Shaoqing Ren
  5. Ross B. Girshick
  6. Olaf Ronneberger
  7. Ilya Sutskever
  8. X. Zhang
  9. Huan Fu
  10. Artem Sevastopolsky

Who trusts Jun Cheng overall

  1. Huan Fu
  2. Tongle Fan
  3. Xiaomeng Li
  4. Kevis-Kokitsi Maninis
  5. Andres Diaz-Pinto
  6. Yitian Zhao
  7. Tao Lei
  8. Yanwu Xu
  9. Md Mostafijur Rahman
  10. Xiaohong Huang

Papers from Jun Cheng's perspective

Ordered by how strongly the researchers Jun Cheng 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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