Kaizhu Huang

Artificial Intelligence · 2012–2023

A researcher in the Science corpus: 4 papers; trusts 183 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Kaizhu Huang trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Ian J. Goodfellow
  6. Christian Szegedy
  7. Kaiming He
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Ronald J. Williams

Who trusts Kaizhu Huang overall

  1. Alexander Ororbia
  2. Naveed Akhtar
  3. Dongxian Wu

Papers from Kaizhu Huang's perspective

Ordered by how strongly the researchers Kaizhu Huang 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers