Yuanhua Lv

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Natural Language Processing — 53 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Information Retrieval & Search — 15 citations into it
• Information Systems — 10 citations into it
• Model Architectures — 9 citations into it
• Reinforcement Learning — 5 citations into it

Whom Yuanhua Lv trusts overall

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

1. Stephen E. Robertson
2. Jerome H. Friedman
3. Jianhua Lin
4. Chengxiang Zhai
5. David M. Blei
6. Victor Lavrenko
7. Ilya Sutskever
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Gerard A. Salton

Papers from Yuanhua Lv's perspective

Ordered by how strongly the researchers Yuanhua Lv trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Table-to-Text: Describing Table Region With Natural Language (2018) — 116 citations
• Learning to Collaborate for Question Answering and Asking (2018) — 51 citations
• Learning to model relatedness for news recommendation (2011) — 104 citations