Wenkai Yang

Artificial Intelligence · 2021–2026

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenkai Yang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Richard Socher
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Yingqi Liu
  7. Jimmy Ba
  8. Yoshua Bengio
  9. Kaiming He
  10. Anh Gia-Tuan Nguyen

Papers from Wenkai Yang's perspective

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

Their papers