Xun Qian

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Qian trusts overall

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

  1. Peter Richtárik
  2. Zeyuan Allen-Zhu
  3. Yurii E. Nesterov
  4. Zheng Qu
  5. Shai Shalev-Shwartz
  6. Tong Zhang
  7. Samuel Horváth
  8. Mark W. Schmidt
  9. Francis R. Bach
  10. Martin Takác

Who trusts Xun Qian overall

  1. Filip Hanzely
  2. Nicolas Loizou
  3. Peter Richtárik
  4. Ahmed Khaled
  5. Hugo Berard
  6. Konstantin Mishchenko
  7. Constantin Philippenko
  8. Sebastian U. Stich

Papers from Xun Qian's perspective

Ordered by how strongly the researchers Xun Qian 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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers