Jie Cao
About
Dr. Jie Cao is an assistant professor at the School of Computer Science at the Gallogly College of Engineering, University of Oklahoma. Before joining OU, he was a post-doctoral researcher at the NSF AI Institute for Student-AI Teaming (iSAT) at the University of Colorado Boulder. He obtained his Ph.D. from the Kahlert School of Computing at the University of Utah. Dr. Cao's research primarily focuses on natural language processing and machine learning, particularly in dialogue and structured prediction. His research aims to facilitate modularized AI systems tailored for future large-scale AI projects that demand increasing collaboration and adaptability, which covers fundamental research on formal language representation, neuro-symbolic methods, latent discrete structures, multimodal/multiagent modeling, etc. His research has been applied to multiple interdisciplinary projects beyond NLP, such as representation learning on database workloads, psychotherapy observers for motivational interviews, AI partners in collaborative learning, and math teaching/tutoring settings.
Research Performance Summary
First Recorded Paper
JRbridge: A framework of large-scale statistical computing for R
Year: 2012
Citations: 3
Venue: 2012 IEEE Asia-Pacific Services Computing Conference
Latest Recorded Paper
Translation via Annotation: A Computational Study of Translating Classical Chinese into Japanese
Year: 2026
Citations: 0
Venue: EACL 2026
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.