Ying-Hsiang

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

  1. JCDL
    GovText: 142 Billion Tokens Extracted from Government Documents
    Akshay Mehta, Albert Du, Anjali Shubha Gopal, Ying-Hsiang Huang, Benjamin Charles Germain Lee, and Kyle Deeds
    In Proceedings of the 26th ACM/IEEE Joint Conference on Digital Libraries, 2026
  2. ACL Demo
    GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs
    Ying-Hsiang Huang, Claire Gong, Shreya Shaji, Alison R. Yan, Leslie Harka, Albert Du, Anjali Shubha Gopal, Samuel J. Klein, Shannon Zejiang Shen, Mark E. Phillips, Trevor Owens, Kyle Deeds, and Benjamin Charles Germain Lee
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2026
  3. CHR
    Digital Collections Explorer: An Open-Source, Multimodal Viewer for Searching Digital Collections
    Ying-Hsiang Huang and Benjamin Charles Germain Lee
    Computational Humanities Research, 2025