Qiang Wang

Artificial Intelligence · with Li · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Wang trusts overall

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

  1. Kaiming He
  2. Rico Sennrich
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Ashish Vaswani
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. X. Zhang
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Qiang Wang overall

  1. Bei Li
  2. Tete Xiao
  3. Sheng Shen
  4. Rohit Girdhar
  5. Zi-Mei Yao
  6. Toan Q. Nguyen
  7. Jungo Kasai
  8. Ye Lin
  9. Xian Li
  10. Tong Xiao

Papers from Qiang Wang's perspective

Ordered by how strongly the researchers Qiang 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers