Rui Yang

Control and Systems Engineering · with Huang · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rui Yang trusts overall

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

  1. Long Wen
  2. Yaroslav Ganin
  3. Yaguo Lei
  4. Thomas Walter Rauber
  5. Xiang Li
  6. Te Han
  7. Ran Zhang
  8. Liang Gao
  9. Xinyu Li
  10. Liang Guo

Papers from Rui Yang's perspective

Ordered by how strongly the researchers Rui Yang 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. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers