Lei Ren

Automotive Engineering · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Ren trusts overall

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

  1. Bhaskar Saha
  2. Tom White
  3. Michael G. Pecht
  4. Kai Goebel
  5. Mark Billinghurst
  6. Wei He
  7. Ho-Ta Lin
  8. Xiaosong Hu
  9. Seongjun Lee
  10. Yao Wu

Who trusts Lei Ren overall

  1. Xiaosong Hu
  2. Weihan Li

Papers from Lei Ren's perspective

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

  1. An integrated approach to battery health monitoring using bayesian regression and state estimation (2007 IEEE Autotestcon)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Adversarial Autoencoders
  7. Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability
  8. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers