Yong Ren

Artificial Intelligence · IEEE wireless communications · 2002–2019

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Ren trusts overall

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

  1. Geoffrey E. Hinton
  2. Paul J. Werbos
  3. Robert Tibshirani
  4. Ronald J. Williams
  5. Tim O'Shea
  6. Karen Simonyan
  7. Vladimir Naumovich Vapnik
  8. Richard S. Sutton
  9. Alex Krizhevsky
  10. Huaiyu Zhu

Papers from Yong Ren's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Reinforcement Learning: An Introduction
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Deep Learning
  10. ImageNet: A large-scale hierarchical image database

Their papers