Xiaoliang Jiang

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.

Honors and Awards

  • President of the iSchool Chinese Students and Scholars Group (CSSG), 2019-2020

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


Markdown-based Semantic Annotation of Workflow Scripts, DataONE all-hands meeting, August 2017.