Scholar
Bonan Min
Google Scholar ID: RHK03FAAAAAJ
Amazon AWS AI Labs
Citations & Impact
Citations
2,706
H-index
18
i10-index
28
Publications
20
Co-authors
50
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey. ACM Computing Surveys 56(2), 1-40.
- - Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training. In Findings of ACL 2023.
- - Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. In Proceedings of ACL 2023.
- - Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT?. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) 2023.
- - Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction. To appear at the 2nd HCI + NLP Workshop at NAACL-HLT 2022.
Research Experience
- - 2025/07-Present: Distinguished Scientist/VP, Thomson Reuters Labs, working on Generative and Agentic AI.
- - 2022/8-2025/05: Principal Applied Scientist, Amazon AWS AI Labs, building generative-AI powered services (Amazon Q), Large Language Models (Amazon Bedrock/Titan), and NLP services (Amazon Comprehend).
- - 2013/7-2022/08: Raytheon Engineering Fellow / Lead Scientist, Principal Investigator (PI), Head of Text group, Raytheon BBN Technologies, led a group to develop novel NLP tools and associated ML models.
- - 2012/6-2012/9: Research Intern, DeepQA team, IBM T.J. Watson Research Center, research in Deep Question Answering for Watson.
- - 2011/6-2011/9: Research Intern, Web Intelligence (WIT) Group, Microsoft Research Asia, research in open-domain information extraction.
- - 2006-2007: Part-time Research Intern, Internet Media (IM) Group, Microsoft Research Asia, Active Learning on Video Annotation.
- - 2005/7-2005/9: Software Engineer Intern, Baidu.com Inc.
Education
- Ph.D. in Computer Science, Courant Institute of Mathematical Sciences, New York University (2008.9-2013.5, M.S. received in 2010), advised by Prof. Ralph Grishman; M.S. in Computer Science, Peking University (received in Jul. 2008), advised by Prof. Yafei Dai and Prof. Xiaoming Li, worked in Parallel and Distributed Computing area; B.S. in Computer Science and B.A. in Economics (double major), Peking University (both received in Jul. 2005).
Background
- Research interests are in the areas of Natural Language Processing (NLP), Machine Learning (ML), and systems and architectural design for large-scale text understanding, mining and retrieval.
Miscellany
- Teaching Natural Language Processing at Tufts University Computer Science department.
