Chenguang Xu (Shine)

Under construction...

I am a PhD candidate in the School of Computer Science at the University of Oklahoma, as well as a graduate assistant at the Michael F. Price College of Business. I am co-advised by Dr. Grant and Dr. Weaver. I am primarily interested in developing visualization systems to learn statistical anomalies.

Conference Publications

Jasmine DeHart, Chenguang Xu, Lisa Egede, Christan Grant. Proposing an Interactive Audit Pipeline for Visual Privacy Research. 2021 IEEE International Conference on Big Data (BigData). Orlando, FL. December 2021.

Chenguang Xu, Sarah M. Brown, Christan Grant. Detecting Simpsons Paradox. The 31st International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Melbourne, Florida. 2018.

Posters

Chenguang Xu, Sarah M. Brown, Christan Grant, Chris Weaver. Interactive Visual Analytics for Simpson’s Paradox Detection. The 3rd Workshop on Human-In-the-Loop Data Analytics (HILDA). Houston, Texas. 2018.

Sarah M. Brown, Chenguang Xu, Christan Grant. Critical Data Exploration with Simpson's Paradox. The 2nd Black in AI Workshop colocated with the Conference on Neural Information Processing Systems (NeurIPS). Montreal, Canada. 2018.

Sarah M. Brown, Chenguang Xu, Christan Grant. Critical Data Exploration with Simpson's Paradox. The 13th annual Women in Machine Learning Workshop colocated with the Conference on Neural Information Processing Systems (NeurIPS, NIPS). Montreal, Canada. 2018.

Service

Student Volunteer Chair, IEEE Visualization Conference (VIS), 2022.

Activities

Attending the Doctoral Colloqium at IEEE Visualization Conference (VIS) 2021.

Students Mentored

Tekena Harcourt (BS Biomedical Engineering, Computer Engineering 2024)

Lexie Barthelemess (BS Computer Engineering 2023)

Darby Cobb (BS Computer Science 2020)