Kai Zhang

Artificial Intelligence · Cureus · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 122 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Zhang trusts overall

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

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

Who trusts Kai Zhang overall

  1. Shelly Sheynin
  2. Stav Cohen

Papers from Kai Zhang's perspective

Ordered by how strongly the researchers Kai 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers