Yilin Xia
Doctoral Student
PhD, Information Sciences, Illinois (in progress)
Research focus
My research in declarative data science employs techniques from data management, visualization, and programming languages, with the objective of enhancing the accessibility and explainability of data science for a wide audience.
Advisors
Publications & Papers
Skvortsov, E., Xia, Y., Ludäscher, B. (2024). Logica: Declarative Data Science for Mere Mortals. In 27th International Conference on Extending Database Technology (EDBT 2024). OpenProceedings.org.
Xia, Y., Bowers, S., Li, L., & Ludäscher, B. (2024). Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation. International Journal of Digital Curation, 16(1), 11-11.
Seo, J.*, Xia, Y.*, Lee, B., McCurry, S., & Yam, Y. J. (2024). MAIDR: Making statistical visualizations accessible with multimodal data representation. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-22).
Ludäscher, B., Bowers, S., & Xia, Y. (2023). Games, Queries, and Argumentation Frameworks: Time for a Family Reunion!. In CEUR Workshop Proceedings (Vol. 3546).
Cheng, Y. Y., & Xia, Y. (2023). A systematic review of methods for aligning, mapping, merging taxonomies in information sciences. Journal of Documentation.
Yen, C. H., Cheng, H., Xia, Y., & Huang, Y. (2023, April). CrowdIDEA: Blending Crowd Intelligence and Data Analytics to Empower Causal Reasoning. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-17).