Jinqiang Yu

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Algorithms & Complexity — 11 citations into it
• Information Systems — 11 citations into it
• Statistical Learning Theory — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Jinqiang Yu trusts overall

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

1. Alexey Ignatiev
2. Peter Clark
3. R. Rivest
4. Cynthia Rudin
5. William W. Cohen
6. Nina Narodytska
7. Gilles Audemard
8. Tim Niblett
9. Bishwamittra Ghosh
10. Joao Marques-Silva

Who trusts Jinqiang Yu overall

1. Emilio Carrizosa
2. Cristina Molero-Río
3. Cynthia Rudin
4. Alexey Ignatiev

Papers from Jinqiang Yu's perspective

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

Their papers

• Optimal Decision Lists using SAT (2020) — 10 citations
• Computing Optimal Decision Sets with SAT (2020) — 29 citations