Qingyun Wang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingyun Wang trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Alex Graves
  5. Kyunghyun Cho
  6. Diederik P. Kingma
  7. Oriol Vinyals
  8. Alex Krizhevsky
  9. Dzmitry Bahdanau
  10. Yann LeCun

Who trusts Qingyun Wang overall

  1. Hiroaki Hayashi
  2. Ondrej Dusek
  3. Tianyu Liu
  4. Rong Ye
  5. Zhenyi Wang
  6. Peng Wang
  7. Chang Shu
  8. Jekaterina Novikova

Papers from Qingyun Wang's perspective

Ordered by how strongly the researchers Qingyun 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers