Yan-Quan Zhou

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan-Quan Zhou trusts overall

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

  1. Noam Shazeer
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. R. Dykstra
  8. Ilya Sutskever
  9. Alex Wang
  10. Yann LeCun

Who trusts Yan-Quan Zhou overall

  1. James Lee-Thorp
  2. Joan Puigcerver
  3. Weilin Cai
  4. J. Ainslie
  5. Aran Komatsuzaki

Papers from Yan-Quan Zhou's perspective

Ordered by how strongly the researchers Yan-Quan Zhou 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers