Xin Luna Dong

Artificial Intelligence · 2004–2015

A researcher in the Science corpus: 10 papers; trusts 50 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Luna Dong trusts overall

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

  1. Alon Y. Halevy
  2. William W. Cohen
  3. Ronald Fagin
  4. Erhard Rahm
  5. Mikhail Bilenko
  6. Xiaoxin Yin
  7. Andrew McCallum
  8. Sunita Sarawagi
  9. Andrew Y. Ng
  10. Fabian M. Suchanek

Who trusts Xin Luna Dong overall

  1. Qi Li
  2. Yaliang Li
  3. Peter Christen
  4. Bo Zhao
  5. Seyed Mehran Kazemi
  6. Jing Gao
  7. Hanna Köpcke
  8. Indrajit Bhattacharya
  9. Kristina Toutanova
  10. Maximilian Nickel

Papers from Xin Luna Dong's perspective

Ordered by how strongly the researchers Xin Luna 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. 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