Ruifang Ge
Natural Language Processing · 2005–2009
A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 31 citations into it; #943 of 5,688 by trust here, #2,846 by citations
- Artificial Intelligence — 28 citations into it; #3,506 of 35,345 by trust here, #8,999 by citations
- Molecular Biology — 8 citations into it; #15,336 of 17,773 by trust here, #11,019 by citations
- Information Extraction — 5 citations into it
Whom Ruifang Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Luke S. Zettlemoyer
- Thorsten Joachims
- Yuk Wah Wong
- Raymond J. Mooney
- Xavier Carreras
- Eugene Charniak
- Nancy Ide
- D. Jurafsky
- Daniel Gildea
Who trusts Ruifang Ge overall
- Raymond J. Mooney
- Luke S. Zettlemoyer
- Yuk Wah Wong
- Tom Kwiatkowski
- Hannaneh Hajishirzi
- Dan Goldwasser
- James Clarke
- Percy Liang
- Jayant Krishnamurthy
- Rik Koncel-Kedziorski
Papers from Ruifang Ge's perspective
Ordered by how strongly the researchers Ruifang Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Statistical Semantic Parser that Integrates Syntax and Semantics (2005) — 203 citations
- Learning a Compositional Semantic Parser using an Existing Syntactic Parser (2009) — 58 citations
- Discriminative Reranking for Semantic Parsing (2006) — 59 citations
- Comparative experiments on learning information extractors for proteins and their interactions (2005) — 469 citations