Xingrui Yu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Xingrui Yu trusts overall

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

  1. Andrew L. Maas
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Samuli Laine
  8. Yann LeCun
  9. Jacob Goldberger
  10. Christian Szegedy

Who trusts Xingrui Yu overall

  1. Hwanjun Song
  2. Junnan Li
  3. Chen Li
  4. Yueming Lyu
  5. Haiyang Zhang
  6. Sheng Liu
  7. Hrayr Harutyunyan
  8. Tong Chu
  9. Jihwan Bang
  10. Chao Lan

Papers from Xingrui Yu's perspective

Ordered by how strongly the researchers Xingrui Yu 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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