Yuan Luo

Artificial Intelligence · AAAI Conference on Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 22 papers; trusts 273 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Luo trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alan R. Aronson
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Matthew D. Zeiler
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Michael Collins
  10. Thomas C. Rindflesch

Who trusts Yuan Luo overall

  1. Zexian Zeng
  2. Liang Yao
  3. Ozlem Uzuner
  4. Yu Deng
  5. Peter Szolovits
  6. Fei Wang
  7. Chengsheng Mao
  8. Xiaoyu Li
  9. Irena Spasic
  10. Tristan Naumann

Papers from Yuan Luo's perspective

Ordered by how strongly the researchers Yuan Luo 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (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