Hui Chen

Artificial Intelligence · with Zhao · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Chen trusts overall

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

  1. Sepp Hochreiter
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Amir Zadeh
  5. J. Urgen Schmidhuber
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Tomas Mikolov
  10. Kaiming He

Who trusts Hui Chen overall

  1. Ankita Gandhi

Papers from Hui Chen's perspective

Ordered by how strongly the researchers Hui 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers