Qian Yu

Artificial Intelligence · with Lam · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 120 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qian Yu trusts overall

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

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

Papers from Qian Yu's perspective

Ordered by how strongly the researchers Qian Yu 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. 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