Yafang Huang

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 84 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yafang Huang trusts overall

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

  1. Diederik P. Kingma
  2. Tomas Mikolov
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yiming Cui
  6. Kyunghyun Cho
  7. Jimmy Ba
  8. Oriol Vinyals
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Yafang Huang overall

  1. Zhuosheng Zhang
  2. Yuwei Wu

Papers from Yafang Huang's perspective

Ordered by how strongly the researchers Yafang Huang 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers