Chen Zhang

Computer Vision and Pattern Recognition · with Zhang · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Zhang trusts overall

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

  1. Song Han
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Kaiming He
  7. Yoshua Bengio
  8. Yann LeCun
  9. Alex Graves
  10. Ilya Sutskever

Papers from Chen Zhang's perspective

Ordered by how strongly the researchers Chen Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers