Kezhen Chen

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 144 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kezhen Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Paul Smolensky
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Kezhen Chen overall

  1. Liangke Gui
  2. Pengcheng He
  3. Shucheng Li
  4. Karl Cobbe
  5. Borui Wang
  6. Jianfeng Gao

Papers from Kezhen Chen's perspective

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

Their papers