Yue Dong

Artificial Intelligence · with Cheung · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 145 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Dong trusts overall

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

  1. Diederik P. Kingma
  2. Chin-Yew Lin
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ronald J. Williams
  6. Ilya Sutskever
  7. Oriol Vinyals
  8. Alex Krizhevsky
  9. Richard Socher
  10. Jimmy Ba

Who trusts Yue Dong overall

  1. Yang Liu
  2. Tanya Goyal
  3. Shuyang Cao
  4. Vidhisha Balachandran
  5. David Wan
  6. Wojciech Kryscinski
  7. Chenguang Zhu
  8. Xingxing Zhang
  9. Ming Zhong
  10. Greg Durrett

Papers from Yue Dong's perspective

Ordered by how strongly the researchers Yue Dong 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. 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