Xiaoxia Wu

Artificial Intelligence · with Ward · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 120 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoxia Wu trusts overall

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

  1. John C. Duchi
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yurii E. Nesterov
  5. Diederik P. Kingma
  6. L. Eon Bottou
  7. Geoffrey E. Hinton
  8. Zeyuan Allen-Zhu
  9. Yann LeCun
  10. H. Brendan McMahan

Who trusts Xiaoxia Wu overall

  1. Difan Zou
  2. Yuege Xie
  3. Guodong Zhang
  4. Yuan Cao
  5. Quanquan Gu
  6. Antonio Orvieto
  7. Nicolas Loizou
  8. Rachel A. Ward
  9. Sanjeev Arora
  10. James Martens

Papers from Xiaoxia Wu's perspective

Ordered by how strongly the researchers Xiaoxia Wu 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  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