Guangxu Xun

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Guangxu Xun trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Ruslan Salakhutdinov
  4. Yoshua Bengio
  5. Tomas Mikolov
  6. Andriy Mnih
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Quoc V. Le
  10. Yann LeCun

Who trusts Guangxu Xun overall

  1. Md Tahmid Rahman Laskar
  2. Ce Zheng
  3. Tianyu Wu
  4. Haohe Liu

Papers from Guangxu Xun's perspective

Ordered by how strongly the researchers Guangxu Xun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers