Mai Xu

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 7 papers; trusts 318 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mai Xu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Frank Bossen
  8. Chao Dong
  9. Gregory K. Wallace
  10. Ross B. Girshick

Who trusts Mai Xu overall

  1. Ren Yang
  2. Siwei Ma
  3. Zulin Wang

Papers from Mai Xu's perspective

Ordered by how strongly the researchers Mai Xu 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. ImageNet Large Scale Visual Recognition Challenge
  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