Xiao Chen

Artificial Intelligence · with Liu · 2001–2021

A researcher in the Science corpus: 10 papers; trusts 173 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Chen 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. Ilya Sutskever
  6. Yann LeCun
  7. J. Urgen Schmidhuber
  8. Kaiming He
  9. Jimmy Ba
  10. Karen Simonyan

Who trusts Xiao Chen overall

  1. Inha Oh
  2. Sehoon Kim
  3. Aleksei Triastcyn
  4. Zi-Mei Yao

Papers from Xiao Chen's perspective

Ordered by how strongly the researchers Xiao Chen 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers