Xiaoliang Jiang
Doctoral Student
PhD, Information Sciences, Illinois (in progress)
MS, Library and Information Science, Illinois
Research focus
My research interest lies in Data Mining, Text Mining, Machine Learning, and Natural Language Processing, especially on how machine learning can help us to analyze unstructured text data and sociotechnical data like social media, geographical, and scientific publication data.
Field Exam Area: Socio-technical Data Analytics
Honors and Awards
- President of the iSchool Chinese Students and Scholars Group (CSSG), 2019-2020
Courses currently teaching
Advisor
Publications & Papers
Jiang, X., & Torvik, V. I. (2020). On the Ambiguity and Relevance of Place Names in Scientific Text. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 401–404. https://doi.org/10.1145/3383583.3398618
Presentations
Markdown-based Semantic Annotation of Workflow Scripts, DataONE all-hands meeting, August 2017.