Ruiying Geng

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruiying Geng trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard Socher
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Oriol Vinyals
  7. Ilya Sutskever
  8. Yann LeCun
  9. Jeffrey Pennington
  10. Sepp Hochreiter

Who trusts Ruiying Geng overall

  1. Trapit Bansal
  2. Congying Xia
  3. Qian Li
  4. Jianguo Zhang
  5. Jiaxin Huang
  6. Wenpeng Yin
  7. Rishikesh Jha

Papers from Ruiying Geng's perspective

Ordered by how strongly the researchers Ruiying Geng 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers