Changqin Quan

Molecular Biology · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Changqin Quan trusts overall

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

  1. Amos Bairoch
  2. Razvan C. Bunescu
  3. Daniel Klein
  4. Rolf Apweiler
  5. Claudio Giuliano
  6. Raymond J. Mooney
  7. Gary D. Bader
  8. Christopher D. Manning
  9. Alberto Lavelli
  10. Ian M. Donaldson

Who trusts Changqin Quan overall

  1. Zexian Zeng
  2. Yu Deng

Papers from Changqin Quan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition

Their papers