Fan Nie

Molecular Biology · 2021–2023

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

Subfields

Whom Fan Nie trusts overall

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

  1. Heng Li
  2. Eugene W. Myers
  3. Dzmitry Bahdanau

Papers from Fan Nie's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  3. Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome (Nature Biotechnology)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. The fragment assembly string graph (ECCB/JBI)
  8. Finishing the euchromatic sequence of the human genome (Nature)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers