Yiming Wang

Artificial Intelligence · with Khudanpur · 2014–2018

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Wang trusts overall

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

  1. Daniel Povey
  2. Vijayaditya Peddinti
  3. Alex Graves
  4. Hasim Sak
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Sanjeev Khudanpur
  8. Andrew W. Senior
  9. J. Urgen Schmidhuber
  10. Tom Ko

Who trusts Yiming Wang overall

  1. Daniel Povey
  2. François Hernandez
  3. Hao Tang
  4. Vimal Manohar
  5. Vijayaditya Peddinti
  6. Hossein Hadian
  7. Sahar Ghannay
  8. Kyu J. Han
  9. Shinji Watanabe
  10. Sanjeev Khudanpur

Papers from Yiming Wang's perspective

Ordered by how strongly the researchers Yiming 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers