Jing Yuan

Signal Processing · Knowledge Discovery and Data Mining · 2010–2013

A researcher in the Science corpus: 8 papers; trusts 16 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Yuan trusts overall

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

  1. Yu Zheng
  2. Xing Xie
  3. Chengyang Zhang
  4. Peter J. Rousseeuw
  5. Leo Breiman
  6. David M. Blei
  7. David Mimno
  8. Matt P. Wand
  9. Yin Lou
  10. Guangzhong Sun

Who trusts Jing Yuan overall

  1. Yu Zheng
  2. Nicholas Jing Yuan
  3. Xing Xie
  4. Shuo Ma
  5. Nicolás Emilio Bordenabe
  6. Lijun Sun
  7. Haitao Yuan
  8. Senzhang Wang
  9. Yilun Wang
  10. Bei Pan

Papers from Jing Yuan's perspective

Ordered by how strongly the researchers Jing Yuan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers