Kaiqiang Song

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kaiqiang Song trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Chin-Yew Lin
  5. Christopher D. Manning
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Jimmy Ba
  9. Yann LeCun
  10. Alex Graves

Who trusts Kaiqiang Song overall

  1. Tanya Goyal
  2. Greg Durrett
  3. Yue Dong

Papers from Kaiqiang Song's perspective

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

Their papers