Qinghong Han

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qinghong Han trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Richard Socher
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Ronald J. Williams
  9. Kaiming He
  10. Sepp Hochreiter

Papers from Qinghong Han's perspective

Ordered by how strongly the researchers Qinghong Han 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers