Kaigui Bian

Artificial Intelligence · 2008–2020

A researcher in the Science corpus: 8 papers; trusts 394 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kaigui Bian trusts overall

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

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

Who trusts Kaigui Bian overall

  1. Beibei Wang

Papers from Kaigui Bian's perspective

Ordered by how strongly the researchers Kaigui Bian 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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