Haoxuan Qu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 214 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoxuan Qu trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Radford M. Neal

Who trusts Haoxuan Qu overall

  1. Liangzu Peng
  2. Paris V. Giampouras

Papers from Haoxuan Qu's perspective

Ordered by how strongly the researchers Haoxuan Qu 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers