Xiao Ling
Artificial Intelligence · 2008–2016
A researcher in the Science corpus: 6 papers; trusts 66 researchers and is trusted by 63 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #4,727 of 35,345 by trust here, #9,465 by citations
- Natural Language Processing — 52 citations into it; #1,419 of 5,688 by trust here, #1,331 by citations
- Information Retrieval & Search — 18 citations into it
- Information Systems — 15 citations into it; #6,899 of 8,771 by trust here, #5,303 by citations
- Communication — 11 citations into it
- Information Extraction — 7 citations into it; #135 of 407 by trust here, #193 by citations
- Molecular Biology — 7 citations into it; #12,904 of 17,773 by trust here, #13,563 by citations
- Management Science and Operations Research — 6 citations into it; #4,460 of 11,946 by trust here, #5,092 by citations
Whom Xiao Ling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- Daniel Klein
- Percy Liang
- Jenny Rose Finkel
- Lev-Arie Ratinov
- Andrew McCallum
- Michael Collins
- John D. Lafferty
- Raphael Hoffmann
- Sebastian Riedel
Who trusts Xiao Ling overall
- Xiaojun Wan
- Jonathan Raiman
- Nitish Gupta
- Xiang Ren
- Ning Ding
- Sameer Singh
- Qianwen Wang
- Ruize Wang
- Eunsol Choi
- Olivier Raiman
Papers from Xiao Ling's perspective
Ordered by how strongly the researchers Xiao Ling trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Design Challenges for Entity Linking (2015) — 228 citations
- Fine-Grained Entity Recognition (2012) — 561 citations
- Effective Crowd Annotation for Relation Extraction (2016) — 83 citations
- Can chinese web pages be classified with english data source? (2008) — 129 citations
- Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations (2011) — 1,060 citations
- Machine Reading at the University of Washington (2010) — 45 citations