Shell Xu Hu

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shell Xu Hu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Yann LeCun
  7. Oriol Vinyals
  8. Karen Simonyan
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Shell Xu Hu overall

  1. Eugene Lee
  2. Zhongqi Yue
  3. Lin Wang
  4. Paul Micaelli
  5. Yonglong Tian
  6. Rafael Müller
  7. Yoojin Choi
  8. Defang Chen
  9. Guodong Xu
  10. Cheng-Han Huang

Papers from Shell Xu Hu's perspective

Ordered by how strongly the researchers Shell Xu Hu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers