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Chengxiang Zhai

Profile picture for Chengxiang Zhai

Contact Information

Computer Science
2116 Siebel Center
201 N Goodwin
M/C 258
Urbana, IL 61801
Affiliate Professor

Additional Campus Affiliations

Donald Biggar Willett Professor, Siebel School of Computing and Data Science
Donald Biggar Willett Faculty Scholar, Siebel School of Computing and Data Science
Professor, Siebel School of Computing and Data Science
Professor, Statistics
Professor, School of Information Sciences
Professor, Carl R. Woese Institute for Genomic Biology

Recent Publications

Bhavya, B., Sehgal, S., Xiong, J., & Zhai, C. X. (2024). AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. In Y. Graham, M. Purver, & M. Purver (Eds.), EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 1723-1737). (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL).

Gangi Reddy, R., Chandra, S., Bai, H., Yao, W., Sidhu, M., Aggarwal, K., Sonawane, P., & Zhai, C. (2024). CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. In WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining (pp. 1050-1053). (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3616855.3635702

Ros, K., & Zhai, C. X. (2024). Scaling Collaborative Learning: Using the Community Digital Library to Enrich Course Content. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education (pp. 1798-1799). (SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education; Vol. 2). Association for Computing Machinery. https://doi.org/10.1145/3626253.3635583

Zhang, Y., Zhang, Y., Shen, Y., Deng, Y., Popa, L., Shwartz, L., Zhai, C. X., & Han, J. (2024). Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. Proceedings of the AAAI Conference on Artificial Intelligence, 38(17), 19606-19614. https://doi.org/10.1609/aaai.v38i17.29933

Zhang, Y., Davies, A., & Zhai, C. X. (Accepted/In press). Understanding the social construction of juvenile delinquency: insights from semantic analysis of big-data historical newspaper collections. Journal of Computational Social Science. https://doi.org/10.1007/s42001-024-00254-x

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