Hongwen Zhang

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 270 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongwen Zhang trusts overall

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

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

Who trusts Hongwen Zhang overall

  1. Wenjie Zhu
  2. Yuliang Xiu
  3. Zhihao Li
  4. Xiaoxuan Ma
  5. Yisheng Song

Papers from Hongwen Zhang's perspective

Ordered by how strongly the researchers Hongwen 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers