Bian Li

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bian Li trusts overall

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

  1. Yves Dehouck
  2. Diederik P. Kingma
  3. Wouter Boomsma
  4. Emidio Capriotti
  5. Vijaya Parthiban
  6. Douglas E. V. Pires
  7. Mark A. DePristo
  8. Lijun Quan
  9. J. Jiménez
  10. Stephen F. Altschul

Who trusts Bian Li overall

  1. Chloe Hsu

Papers from Bian Li's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers