Yingqi Qu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yingqi Qu trusts overall

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

  1. Rodrigo Nogueira
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kyunghyun Cho
  5. Kenton C. T. Lee
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Yingqi Qu overall

  1. Luyu Gao
  2. Jimmy J. Lin
  3. Wayne Xin Zhao
  4. Ruiyang Ren
  5. Thibault Formal
  6. Jingtao Zhan
  7. Sheng-Chieh Lin
  8. Jamie Callan
  9. Jing Liu
  10. Sebastian Hofstätter

Papers from Yingqi Qu's perspective

Ordered by how strongly the researchers Yingqi Qu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers