Yi Xu

Artificial Intelligence · with Jin · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Xu trusts overall

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

  1. Yurii E. Nesterov
  2. Guanghui Lan
  3. Alex Krizhevsky
  4. Martin Jaggi
  5. Saeed Ghadimi
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Yann LeCun
  9. Simon Lacoste-Julien
  10. J. Urgen Schmidhuber

Who trusts Yi Xu overall

  1. Zeyuan Allen-Zhu
  2. Hadi Daneshmand
  3. Rachel A. Ward
  4. Leonard Adolphs
  5. Cong Fang
  6. Thomas Kerdreux
  7. Yuanzhi Li
  8. Aurélien Lucchi
  9. Xiaoxia Wu
  10. Jonas Köhler

Papers from Yi Xu's perspective

Ordered by how strongly the researchers Yi Xu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers