Ruixuan Sun
Computer Science Ph.D. candidate @ University of Minnesota
GroupLens Research
Department of Computer Science & Engineering
U of Minnesota
Hi! This is Ruixuan(Sophia), a 5th-year Computer Science Ph.D. student working with Dr. Joseph Konstan at University of Minnesota. I earned my Bachalor’s Degree of Computer Science from Georgia Institute of Technology in 2019. After graduation, I’ve worked as a Software Engineer at Yelp for two years before starting my Ph.D. journey at UMN. During my PhD, I have the privilege to intern with Dolby Lab, Amazon, and Google.
My research interests include: Human-centered AI, Social Computing, Recommender Systems, and Applied Machine Learning. In particular, I’m passionate about user interest modeling, behavior understanding, beyond-accuracy evaluation and optimization. I have expertise in mixed-method study design and extensive experience in running large-scale online field experiments powered by A/B tests. In general, I love training models and conducting user evaluation to understand how we can better serve human beings with AI-powered technology!
Please see my CV for more detailed experience.
news
| Apr 8, 2026 | Our work “Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibration and Personalized Preview Nudges” has been accepted to SIGIR 2026! |
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| Apr 2, 2026 | Our work “Productively Wrong: How Auditing Open Profiles Enhances Interest Awareness and Reflection in Movie Recommenders” has been accepted to UMAP 2026. Looking forward to present it in Gothenburg, Sweden in June! |
| Feb 1, 2026 | Excited to serve as RecSys 26’ Demos and Research & Practice Notes chair. Please consider submitting your work this summer and looking forward to meeting with everyone in Minneapolis this September! |
| Apr 28, 2025 | Excited to present our paper “Multi-Prompting Scenario-based Movie Recommendation with Large Language Models: Real User Case Study” at CHI 2025! |
| Mar 24, 2025 | Excited to present our long paper “Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders” at CHIIR 2025! |