Ya-Zhen Song

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ya-Zhen Song trusts overall

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

  1. Heiga Zen
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yang Song
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Alex Graves
  8. Ilya Sutskever
  9. Kaiming He
  10. Aäron van den Oord

Who trusts Ya-Zhen Song overall

  1. Sanyuan Chen
  2. Yushen Chen
  3. Detai Xin
  4. Xu Tan

Papers from Ya-Zhen Song's perspective

Ordered by how strongly the researchers Ya-Zhen 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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