Yu-Hsuan Wang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 87 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-Hsuan Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Sepp Hochreiter
  3. Ronald J. Williams
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. J. Urgen Schmidhuber
  7. Diederik P. Kingma
  8. Quoc V. Le
  9. Kyunghyun Cho
  10. Alex Krizhevsky

Who trusts Yu-Hsuan Wang overall

  1. Yi-Chen Chen
  2. Hung-yi Lee
  3. Yonatan Belinkov
  4. Kuan-Yu Chen
  5. Da-Rong Liu
  6. Sung-Feng Huang
  7. Nadir Durrani
  8. Herman Kamper
  9. Lin-Shan Lee
  10. Wei-Ning Hsu

Papers from Yu-Hsuan Wang's perspective

Ordered by how strongly the researchers Yu-Hsuan Wang 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers