AnHai Doan
Artificial Intelligence · 2001–2020
A researcher in the Science corpus: 15 papers; trusts 82 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 146 citations into it; #3,784 of 35,345 by trust here, #4,316 by citations
- Natural Language Processing — 59 citations into it
- Management Science and Operations Research — 52 citations into it; #1,211 of 11,946 by trust here, #819 by citations
- Information Systems — 35 citations into it; #4,387 of 8,771 by trust here, #3,012 by citations
- Computer Networks and Communications — 33 citations into it; #1,037 of 9,886 by trust here, #1,539 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Model Architectures — 18 citations into it
Whom AnHai Doan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kai Ming Ting
- Ian H. Witten
- Alexander Maedche
- David Hilton Wolpert
- Pedro M. Domingos
- Erhard Rahm
- Jayant Madhavan
- Wen-Syan Li
- Alon Y. Halevy
- Geoffrey E. Hinton
Who trusts AnHai Doan overall
- Jayant Madhavan
- Pavel Shvaiko
- Jérôme Euzenat
- Alon Y. Halevy
- Philip A. Bernstein
- Natasha Noy
- Hong Hai Do
- Erhard Rahm
- Sanjay Krishnan
- Sergey Melnik
Papers from AnHai Doan's perspective
Ordered by how strongly the researchers AnHai Doan trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (2011) — 306 citations
- Ontology Matching: A Machine Learning Approach (2004) — 585 citations
- Deep entity matching with pre-trained language models (2020) — 516 citations
- Reconciling schemas of disparate data sources: a machine-learning approach (2001) — 923 citations
- Corleone: hands-off crowdsourcing for entity matching (2014) — 277 citations
- Deep Learning for Entity Matching: A Design Space Exploration (2018) — 675 citations
- Learning to map between ontologies on the semantic web (2002) — 1,086 citations
- iMAP: discovering complex semantic matches between database schemas (2004) — 442 citations
- Learning to match ontologies on the Semantic Web (2003) — 586 citations
- Toward a System Building Agenda for Data Integration (and Data Science) (2018) — 6 citations
- The Beckman report on database research (2016) — 51 citations
- Principles of Data Integration (2012) — 663 citations
- 4 – String Matching (2012) — 9 citations
- Corpus-based schema matching (2005) — 448 citations
- An interactive clustering-based approach to integrating source query interfaces on the deep Web (2004) — 299 citations