Hang Yu

Natural Language Processing · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hang Yu trusts overall

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

  1. Miltiadis Allamanis
  2. Karen Spärck Jones
  3. Ilya Sutskever
  4. Sepp Hochreiter
  5. Rada Mihalcea
  6. Xiaodong Gu
  7. Haoran Niu
  8. Caitlin Sadowski
  9. J. Urgen Schmidhuber

Papers from Hang Yu's perspective

Ordered by how strongly the researchers Hang Yu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (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. Learning Multiple Layers of Features from Tiny Images

Their papers