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Ying-Hsiang Huang
I am a first-year PhD student at the University of Washington Information School, advised by Benjamin Charles Germain Lee. My research sits at the intersection of digital libraries, information retrieval, and computational humanities.
I study how multimodal machine learning can make large cultural heritage and government collections, from digitized maps and photographs to web archives, discoverable when their metadata is sparse or missing. To that end, I design and study intent-aware information retrieval systems that understand what researchers and the public are looking for, not just the words they type.
News
2026.09 Started my PhD at the University of Washington Information School.
2026.04 GovScape was accepted to the ACL 2026 System Demonstrations track.
2025.11 Digital Collections Explorer was published in Computational Humanities Research.
Publications
- JCDLGovText: 142 Billion Tokens Extracted from Government DocumentsIn Proceedings of the 26th ACM/IEEE Joint Conference on Digital Libraries, 2026