Quan Wang

Artificial Intelligence · with Guo · 2015–2019

A researcher in the Science corpus: 7 papers; trusts 185 researchers and is trusted by 18 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. Antoine Bordes
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jason Aaron Edward Weston
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Tomas Mikolov
  9. Maximilian Nickel
  10. Richard Socher

Who trusts Quan Wang overall

  1. Hongwei Wang
  2. Bilal Abu-Salih
  3. Shaoxiong Ji
  4. Fuzheng Zhang
  5. Liang Yao
  6. Miao Zhao
  7. Shikhar Vashishth
  8. Lingbing Guo
  9. Seyed Mehran Kazemi
  10. Diego Moussallem

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. 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers