Xiaolian Zhu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaolian Zhu trusts overall

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

  1. Devi Parikh
  2. Florian Eyben
  3. R. Skerry-Ryan
  4. Kristen Grauman
  5. Diederik P. Kingma
  6. Sercan Ö. Arik
  7. Jonathan Shen
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Yuxuan Wang

Who trusts Xiaolian Zhu overall

  1. Bastian Schnell
  2. Yinjiao Lei
  3. Philip N. Garner
  4. Shan Yang

Papers from Xiaolian Zhu's perspective

Ordered by how strongly the researchers Xiaolian Zhu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers