Yiqing Hua

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yiqing Hua trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Cynthia Dwork
  4. Kaiming He
  5. Tom Minka
  6. H. Brendan McMahan
  7. Ian J. Goodfellow
  8. Yoshua Bengio
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Yiqing Hua overall

  1. Li Li
  2. Clement Fung
  3. Xiaoyu Cao

Papers from Yiqing Hua's perspective

Ordered by how strongly the researchers Yiqing Hua 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Et al
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers