Yuchen Jiang

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuchen Jiang trusts overall

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

  1. Petr Kadlec
  2. Craig K. Enders
  3. Shen Yin
  4. Geoffrey E. Hinton
  5. Fei Tao
  6. Bogdan Gabrys
  7. Allen Newell
  8. Hoyeop Lee
  9. Ilya Sutskever
  10. Pablo A. Estévez

Papers from Yuchen Jiang's perspective

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

Their papers