Yingqiang Ge

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yingqiang Ge trusts overall

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

  1. Ronald J. Williams
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ilya Sutskever
  8. Quoc V. Le
  9. Barret Zoph
  10. Yann LeCun

Who trusts Yingqiang Ge overall

  1. Jian Xie
  2. Xiang Deng

Papers from Yingqiang Ge's perspective

Ordered by how strongly the researchers Yingqiang Ge 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers