Yong Jiang

Artificial Intelligence · 4 papers · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Jiang trusts overall

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

  1. E. Tjong Kim Sang
  2. Alan Akbik
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Jacob Devlin
  8. Alex Krizhevsky
  9. Xuezhe Ma
  10. Yann LeCun

Papers from Yong Jiang's perspective

Ordered by how strongly the researchers Yong Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers