Chengyu Huang

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chengyu Huang trusts overall

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

  1. Junbo Jake Zhao
  2. Yann LeCun
  3. Yoon Kim
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Jacob Devlin
  10. Jason Wei

Papers from Chengyu Huang's perspective

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

Their papers