PhD, Information Sciences, Illinois (in progress)
MS, Information Management, Illinois
BA, Library Science, Wuhan University
BS, Economics, Wuhan University
Honors and Awards
- Lee Dirks Award for Best Full Research Paper, iConference, 2023
- Summer Research Institute Stipend, The Consortium for the Science of Sociotechnical Systems (CSST), 2023
- SIGIR Student Travel Grant, the Association for Computing Machinery's Special Interest Group on Information Retrieval, 2022
- Best Student Poster of the School of Information Sciences Research Showcase, School of Information Sciences at UIUC, 2019
- Oxford-Illinois Digital Library Placement Programme (OIDLPP) Scholarship, School of Information Sciences at UIUC, 2018
Courses currently teaching
Publications & Papers
View more publications and presentations on Yuerong Hu's Google Scholar page.
Peer-Reviewed Journal Articles
Hu, Y., LeBlanc, Z., Diesner, J., Underwood, T., Layne-Worthey, G., & Downie, J. S. (2023). Complexities of leveraging user-generated book reviews for scholarly research: transiency, power dynamics, and cultural dependency. International Journal on Digital Libraries, 1-24. https://doi.org/10.1007/s00799-023-00376-z.
Hu, Y., Ocepek, M. G., Downie, J. S., & Barker, L. (2022). Listen to Librarians: Highlighted Core Competencies for Librarianship from the Perspectives of Working Librarians. College & Research Libraries, 83(6), 994-1013. https://doi.org/10.5860/crl.83.6.994.
Zhou, L., Hu, Y., & Xu, J. (2018). Understanding the lack of student engagement in Chinese library science undergraduate education. Information Development, 34(2), 148-161. https://doi.org/10.1177/0266666916683538.
Peer-Reviewed Conference Research Papers
Hu, Y., Layne-Worthey, G., Martaus, A., Downie, J.S., & Diesner, J. (2023). Research with User-Generated Book Review Data: Legal and Ethical Pitfalls and Contextualized Mitigations. Proceedings of iConference 2023. https://doi.org/10.1007/978-3-031-28035-1_13.
Parulian, N.N., Dubnicek, R.C., Evans, D., Hu, Y., Worthey, G., Downie, J. S., Heaton, R., Lu, K., Orr, R., Magni, I., & Walsh, J. (in press). Tuning out the Noise: Benchmarking Entity Extraction for Digitized Native American Literature. Proceedings of 86th Annual Meeting of the American Society for Information, Science & Technology (ASIS&T 2023).
Hu, Y., LeBlanc, Z., Diesner, J., Underwood, T., Worthey, G., & Downie, J. S. (2022). Complexities Associated with User-generated Book Reviews in Digital Libraries: Temporal, Cultural, and Political Case Studies. Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2022. https://doi.org/10.1145/3529372.3530930.
Jiang, M., Hu, Y., Worthey, G., Dubnicek, R., Underwood, T. & Downie, J. S. (2021). Impact of OCR Quality on BERT Embeddings in the Domain Classification of Book Excerpts. Proceedings of The Workshop on Computational Humanities Research (CHR) 2021. http://ceur-ws.org/Vol-2989/long_paper43.pdf.
Hu, Y., Jiang, M., Underwood, T., & Downie, J. S. (2020). Improving Digital Libraries Provision of Digital Humanities Datasets: A Case Study of the HTRC Literature Dataset. Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2020. https://doi.org/10.1145/3383583.3398621.
Sharma, A.*, Hu, Y*., Wu, P*., Shang, W*., Singhal, S*., & Underwood, T* (2020). The Rise and Fall of Genre Differentiation in English-Language Fiction. Proceedings of The Workshop on Computational Humanities Research (CHR) 2020. http://ceur-ws.org/Vol-2723/long27.pdf.
Jett, J., Capitanu, B., Kudeki, D., Cole, T., Hu, Y., Organisciak, P., Underwood, T., Koehl, E., Dubnicek, R., Downie, J.S. (2020). The HathiTrust Research Center Extracted Features Dataset (2.0). HathiTrust Research Center. https://doi.org/10.13012/R2TE-C227.
* denotes equal authorship
Peer-Reviewed Conference Paper and Poster Presentations
Layne-Worthey, G., Hu, Y., & Downie, J. S. (2023, July 10-14). Cross-Cultural Classics: Preliminary Findings from Goodreads Based in the U.S. and Douban Based in China. Digital Humanities 2023, Hybrid (Graz, Austria and Online).
Hu, Y. (2023, Mar 13-17). Research with User-Generated Book Review Data: Legal and Ethical Pitfalls and Contextualized Mitigations. iConference 2023, Online.
Jiang, M., & Hu, Y. (2021, November 17-19). Impact of OCR quality on BERT Embeddings in the Domain Classification of Book Excerpts. The Workshop on Computational Humanities Research 2021 (CHR), Online.
Hu, Y. (2020, August 1-5). Improving Digital Libraries Provision of Digital Humanities Datasets: A Case Study of the HTRC Literature Dataset. ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2020, Online.
Hu, Y. (2020, March 23-26). The Real Library World is Dirty and You Don't Learn That at All in Schools. iConference 2020, Hybrid (Borås, Sweden and Online).
Hu, Y. (2019, March 31-April 4). Bridging the Information Gap between Structural and Note-Level Musical Datasets. iConference 2019, Washington, DC, United States.
Hu, Y. (2017, March 22-25). Understanding the Lack of Student Engagement in Chinese Library Science Undergraduate Education. iConference 2017, Wuhan, China.
Peer-Reviewed Doctoral Colloquium Presentations
Hu, Y. (2022, October 29-November 1). Complexities Associated with User-Generated Book Reviews: Transiency, Cultural Dependency, and User Power Dynamics. ASIS&T 2022 Doctoral Consortium, Pittsburgh, PA, United States.
Hu, Y. (2022, June 20-24). Synthesizing Digital Libraries and Digital Humanities Perspectives for Illuminating Underinvestigated Complexities Associated with User-Generated Book Reviews. JCDL2022 Doctoral Consortium, Online.
Hu, Y. (2022, February 20-March 4). Underinvestigated Complexities Associated with User-Generated Book Reviews. iConference 2022 Doctoral Consortium, Online.
In the News
- Digital Humanities
- Digital Libraries
- Education of Information Professionals
- Computational Social Science, Social Computing
- Cultural Informatics and Heritage
- Data Analytics and Human Centered Data
- Natural Language Processing, Text Mining, Text Analysis, Computational Linguistics
- FATE (fairness, accountability, transparency, ethics)