Yifang Ma

Automotive Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yifang Ma trusts overall

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

  1. Mariusz Bojarski
  2. Anna Petrovskaya
  3. Ahmad El Sallab
  4. Pablo Fernández Alcantarilla
  5. Sebastian Thrun
  6. Dean A. Pomerleau
  7. Mohammed Abdou
  8. Jonathan Horgan
  9. Simon Stent

Papers from Yifang Ma's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. End to End Learning for Self-Driving Cars
  3. ALVINN, an autonomous land vehicle in a neural network
  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. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers