Yongqiang Wang

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 10 papers; trusts 83 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Yongqiang Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Graves
  5. Abdel-rahman Mohamed
  6. Jimmy Ba
  7. Karen Simonyan
  8. Alex Krizhevsky
  9. Daniel Povey
  10. Ilya Sutskever

Who trusts Yongqiang Wang overall

  1. Dong Yu
  2. Rohit Prabhavalkar
  3. Mirco Ravanelli
  4. Jinyu Li
  5. Arun Narayanan
  6. Shinji Watanabe
  7. Bo Li
  8. Qiantong Xu
  9. Tatiana Likhomanenko
  10. M. Alam

Papers from Yongqiang Wang's perspective

Ordered by how strongly the researchers Yongqiang 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. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers