Publications
Research Overview
My research is primarily focused on Natural Language Processing, particularly in the area of Dialogue and Structured Prediction. As AI challenges become more complex, I’m keen on developing modularized AI systems tailored for future large-scale projects that demand Human-AI Teaming, which requires complex control, reasoning, collaboration, and adaptation.
Papers
(See full list in Google Scholar)
2025
- ICCV Workshop
- IEEE SPAWCYu Cai, Ziang He, Yanyan Luo, Jie Cao, Yuchen Liu, Zhengping Luo, and Shangqing Zhao. 2025. Adversarial Attacks on Cooperative Spectrum Sensing: A LLM-Powered Multi-Agent Approach. IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications(To Appear). BibTeX
- EDMJannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, James Martin, and Tamara Sumner. 2025. Towards Actionable Pedagogical Feedback: A Multi- Perspective Analysis of Mathematics Teaching and Tutoring Dialogue. In Proceedings of the 18th International Conference on Educational Data Mining, pages 328–341. International Educational Data Mining Society, July. BibTeX | PDF
- arXiv
- COLINGJie Cao, Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Amanda Howard, Chelsea Brown, Brent Milne, Tom Fischaber, Tamara Sumner, and James H. Martin. 2025. Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse. In The 31st International Conference on Computational Linguistics. BibTeX | PDF
2024
- IEEE TVCGZhimin Li, Shusen Liu, Xin Yu, Kailkhura Bhavya, Jie Cao, Diffenderfer James Daniel, Peer-Timo Bremer, and Valerio Pascucci. 2024. "Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches. IEEE Transactions on Visualization and Computer Graphics. BibTeX | PDF | URL
- L@SBaptiste Moreau-Pernet, Yu Tian, Sandra Sawaya, Peter Foltz, Jie Cao, Brent Milne, and Thomas Christie. 2024. Classifying Tutor Discursive Moves at Scale in Mathematics Classrooms with Large Language Models. In Proceedings of the Eleventh ACM Conference on Learning @ Scale, pages 361–365. Association for Computing Machinery. BibTeX | PDF | URL
2023
- BEAE. Margaret Perkoff, Abhidip Bhattacharyya, Jon Cai, and Jie Cao. 2023. Comparing Neural Question Generation Architectures for Reading Comprehension. In Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, and Torsten Zesch, editors, Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 556–566, Toronto, Canada, July. Association for Computational Linguistics. BibTeX | PDF | URL
- ACL
- UMAPJie Cao, Ananya Ganesh, Jon Cai, Rosy Southwell, Magerate Perkoff, Michael Regan, Katharina Kann, James Martin, Martha Palmer, and Sideny D’Mello. 2023. A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. Proceedings of the 31st ACM Conference on User Modeling Adaptation and Personalization. BibTeX | PDF
- AIAIC
2022
- IWSDSJon Cai, Brendan D. King, Margaret Perkoff, Shiran Dudy, Jie Cao, Marie Grace, Natalia Wojarnik, Ganesh Ananya, James Martin, Martha Palmer, Marilyn Walker, and Jeffrey Flanigan. 2022. Dependency Dialogue Acts — Annotation Scheme and Case Study. The 13th International Workshop on Spoken Dialogue Systems Technology. BibTeX | PDF
- Ph.D. Dissertation
2021
- VLDB
- NAACL
Earlier
- CoNLLJie Cao, Yi Zhang, Adel Youssef, and Vivek Srikumar. 2019. Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the Conference on Natural Language Learning, pages 138–148. BibTeX | PDF
- ACL
- ACL
- DSTC
- IEEE ICSC
- IEEE APSCC