Xiaojing Ye

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 6 papers; trusts 59 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaojing Ye trusts overall

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

  1. John C. Duchi
  2. Olivier Guéant
  3. Michael G. Rabbat
  4. Andrew Y. Ng
  5. Mohit Sewak
  6. Alekh Agarwal
  7. Richard S. Sutton
  8. Chelsea Finn
  9. Geoffrey E. Hinton
  10. Art B. Owen

Who trusts Xiaojing Ye overall

  1. Hanlin Tang
  2. Amrit Singh Bedi
  3. Xiang Li
  4. Anastasia Koloskova
  5. Ping Zhang
  6. Ce Zhang
  7. Shaoduo Gan
  8. Ketan Rajawat
  9. Wenhao Yang
  10. Shi Pu

Papers from Xiaojing Ye's perspective

Ordered by how strongly the researchers Xiaojing Ye 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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