Jyun-Yu Jiang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jyun-Yu Jiang trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Jamie Callan
  7. Sebastian Hofstätter
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Kyunghyun Cho

Who trusts Jyun-Yu Jiang overall

  1. Nick Craswell
  2. Liu Yang
  3. Yi Tay
  4. Bhaskar Mitra
  5. Jimmy J. Lin

Papers from Jyun-Yu Jiang's perspective

Ordered by how strongly the researchers Jyun-Yu 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers