Chengxiang Zhai

If you made any changes in Pure these will be visible here soon.

Personal profile

Office Address

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

Office Phone

Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 5 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

Collective development of large scale data science products via modularized assignments: An experience report

Bhavya, Boughoula, A., Green, A. & Zhai, C. X., Feb 26 2020, SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, p. 1200-1206 7 p. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
  • Adapting sequence to sequence models for text normalization in social media

    Lourentzou, I., Manghnani, K. & Zhai, C. X., Jan 1 2019, p. 335-345. 11 p.

    Research output: Contribution to conferencePaper

  • A generative model for discovering action-based roles and community role compositions on community question answering platforms

    Geigle, C., Dev, H., Sundaram, H. & Zhai, C. X., Jan 1 2019, p. 181-192. 12 p.

    Research output: Contribution to conferencePaper

  • Analysis of adaptive training for learning to rank in information retrieval

    Kuzi, S., Labhishetty, S., Santu, S. K. K., Joshi, P. P. & Zhai, C. X., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2325-2328 4 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Automatic assessment of complex assignments using topic models

    Kuzi, S., Cope, W., Ferguson, D., Geigle, C. & Zhai, C. X., Jun 24 2019, Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution