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
Dey, P., & Zhai, C. X. (2022). Fine Grained Categorization of Drug Usage Tweets. In G. Meiselwitz (Ed.), Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings (pp. 267-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13315 LNCS). Springer. https://doi.org/10.1007/978-3-031-05061-9_19
Labhishetty, S., Zhai, C. X., Xie, M., Gong, L., Sharnagat, R., & Chembolu, S. (2022). Differential query semantic analysis: Discovery of explicit interpretable knowledge from e-com search logs. In WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining (pp. 535-543). (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery, Inc. https://doi.org/10.1145/3488560.3498503
Labhishetty, S., & Zhai, C. X. (2022). RATE: A Reliability-Aware Tester-Based Evaluation Framework of User Simulators. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings (pp. 336-350). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13185 LNCS). Springer. https://doi.org/10.1007/978-3-030-99736-6_23
Santu, S. K. K., Hassan, M. M., Smith, M. J., Xu, L., Zhai, C., & Veeramachaneni, K. (2022). AutoML to Date and Beyond: Challenges and Opportunities. ACM Computing Surveys, 54(8), [175]. https://doi.org/10.1145/3470918
Satheesan, S. P., Bhavya, Davies, A., Craig, A. B., Zhang, Y., & Zhai, C. (2022). Toward a big data analysis system for historical newspaper collections research. In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2022 [12] (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3539781.3539795