Peng Lin

Nature Electronics · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Peng Lin's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Deep Sparse Rectifier Neural Networks
  5. Mastering the game of Go with deep neural networks and tree search
  6. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  7. Learning to Forget: Continual Prediction with LSTM
  8. In-datacenter performance analysis of a tensor processing unit
  9. Nonlinear dimensionality reduction by locally linear embedding.
  10. ImageNet classification with deep convolutional neural networks

Their papers