Ganqu Cui

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 9 papers; trusts 177 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ganqu Cui trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. John Schulman
  6. Ilya Sutskever
  7. Yann LeCun
  8. Kaiming He
  9. Jimmy Ba
  10. Alex Graves

Who trusts Ganqu Cui overall

  1. Xing Su
  2. Zixiang Chen
  3. Lin Wang
  4. Yaoman Li
  5. Abdul Mueed Hafiz
  6. Yao Ma
  7. Hanze Dong
  8. Seungone Kim
  9. Joakim Skarding
  10. Ke Sun

Papers from Ganqu Cui's perspective

Ordered by how strongly the researchers Ganqu Cui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers