Zenghui Wang

Computer Vision and Pattern Recognition · 2012–2022

A researcher in the Science corpus: 4 papers; trusts 1,057 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Zenghui Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. L. Eon Bottou
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. J. Urgen Schmidhuber
  10. Karen Simonyan

Who trusts Zenghui Wang overall

  1. Grace W. Lindsay
  2. Fred Hohman
  3. Sweta Bhattacharya
  4. Deboleena Roy

Papers from Zenghui Wang's perspective

Ordered by how strongly the researchers Zenghui Wang 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers