Yu Wang

Artificial Intelligence · with Jin · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Wang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Gökhan Tür
  5. Ruhi Sarikaya
  6. Bing Liu
  7. Yoshua Bengio
  8. Puyang Xu
  9. Jimmy Ba
  10. Dilek Z. Hakkani-Tür

Who trusts Yu Wang overall

  1. Hwa-Yeon Kim
  2. Yilin Shen
  3. Yoon-Hyung Roh
  4. Ting-En Lin

Papers from Yu Wang's perspective

Ordered by how strongly the researchers Yu Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers