Contact Information
2116 Siebel Center
201 N Goodwin
M/C 258
Urbana, IL 61801
Research Areas
Additional Campus Affiliations
Professor, Computer Science
Donald Biggar Willett Faculty Scholar, Computer Science
Professor, School of Information Sciences
Professor, Carl R. Woese Institute for Genomic Biology
Donald Biggar Willett Professor, Computer Science
Recent Publications
Amigó, E., Fang, H., Mizzaro, S., & Zhai, C. (2020). Axiomatic thinking for information retrieval: introduction to special issue. Information Retrieval Journal, 23(3), 187-190. https://doi.org/10.1007/s10791-020-09376-y
Bhavya, Boughoula, A., Green, A., & Zhai, C. X. (2020). Collective development of large scale data science products via modularized assignments: An experience report. In SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 1200-1206). (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE). Association for Computing Machinery. https://doi.org/10.1145/3328778.3366961
Kuzi, S., Zhai, C. X., Tian, Y., & Tang, H. (2020). FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles. In SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2133-2136). (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3397271.3401400
Morales, A., Narang, K., Sundaram, H., & Zhai, C. (2020). CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. In H. W. Lauw, E-P. Lim, R. C-W. Wong, A. Ntoulas, S-K. Ng, & S. J. Pan (Eds.), Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings (pp. 592-605). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12084 LNAI). Springer. https://doi.org/10.1007/978-3-030-47426-3_46
Seyler, D., & Zhai, C. X. (2020). A Study of Methods for the Generation of Domain-Aware Word Embeddings. In SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1609-1612). (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3397271.3401287