Hongxia Yang

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 20 papers; trusts 1,056 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hongxia Yang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Kaiming He
  7. Yann LeCun
  8. Jimmy Ba
  9. Alex Graves
  10. Ruslan Salakhutdinov

Who trusts Hongxia Yang overall

  1. Ming Ding
  2. Xu Han

Papers from Hongxia Yang's perspective

Ordered by how strongly the researchers Hongxia Yang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers