Hongbin Shen

Molecular Biology · 2007–2018

A researcher in the Science corpus: 12 papers; trusts 66 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

Whom Hongbin Shen trusts overall

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

  1. Kuo-Chen Chou
  2. Guo-Ping Zhou
  3. Olof Emanuelsson
  4. Yu-Dong Cai
  5. Kutbuddin S. Doctor
  6. Hong-Bin Shen
  7. Yuhai Wu
  8. Stephen F. Altschul
  9. Ian Small
  10. Jannick Dyrløv Bendtsen

Who trusts Hongbin Shen overall

  1. Kuo-Chen Chou
  2. Xuan Xiao
  3. Bin Liu
  4. Torsten Blum
  5. Sebastian Briesemeister
  6. Hao Lin
  7. Ke Chen
  8. Wei Chen
  9. Yu Li
  10. Jianhua Jia

Papers from Hongbin Shen's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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. Dropout: a simple way to prevent neural networks from overfitting
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. This PDF file includes: Materials and Methods

Their papers