Mingfu Shao

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingfu Shao trusts overall

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

  1. Sheng Wang
  2. Daehwan Kim
  3. Jian Peng
  4. Dong C. Liu
  5. Jinbo Xu
  6. Jorge Nocedal
  7. Ben Langmead
  8. Liefeng Bo
  9. Siqi Sun
  10. Steven L. Salzberg

Who trusts Mingfu Shao overall

  1. Travers Ching

Papers from Mingfu Shao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Going deeper with convolutions
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. On the limited memory BFGS method for large scale optimization
  7. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers