Jinliang He

Biomedical Engineering · 2015–2021

A researcher in the Science corpus: 13 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinliang He trusts overall

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

  1. Toshikatsu Tanaka
  2. Xingyi Huang

Papers from Jinliang He's perspective

Ordered by how strongly the researchers Jinliang He 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Densely Connected Convolutional Networks
  7. Identity Mappings in Deep Residual Networks
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Deep Learning
  10. Gradient-based learning applied to document recognition

Their papers