Quan Wang

Artificial Intelligence · with Lopez-Moreno · 2017–2022

A researcher in the Science corpus: 10 papers; trusts 83 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Quan Wang trusts overall

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

  1. Sepp Hochreiter
  2. Geoffrey E. Hinton
  3. Hasim Sak
  4. Li Wan
  5. Yoshua Bengio
  6. J. Urgen Schmidhuber
  7. Alex Graves
  8. Diederik P. Kingma
  9. Ye Jia
  10. Yann LeCun

Who trusts Quan Wang overall

  1. Ye Jia
  2. Shota Horiguchi
  3. Yusuke Fujita
  4. Zhongxin Bai
  5. Shinji Watanabe
  6. Neil Zeghidour
  7. Kateřina Žmolíková
  8. Xiao-Lei Zhang
  9. Edresson Casanova
  10. Naoyuki Kanda

Papers from Quan Wang's perspective

Ordered by how strongly the researchers Quan 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers