Department of Computer Science
University of Minnesota, Twin Cities
I am a fourth-year computer science PhD student with GroupLens Research at the University of Minnesota - Twin Cities. I am currently advised by Haiyi Zhu and Loren Terveen to understand the underlying mechanisms and predict the behaviors of online users and group interactions in the Peer Production communities using statistical models and machine learning algorithms, and further build systems with research-through-design approaches and field evaluation methods to support online collaboration in a broader context, such as recommender systems in Wikipedia, collaborative learning platforms for MOOCs, and crowd-powered systems for meeting scheduling.
In my spare time, I enjoy working out, playing basketball, and travelling.
Going to join the Analytics team in Google for another summer internship. Looking forward to the life and friend get-togethers in California!
I have been working closely with the Wikipedia community and Wikimedia Foundation over the summer to design and build a recommender system for WikiProjects to socialize newcomers. Check out the Signpost article we published for more detail!
Will join Microsoft Research FUSE Labs this summer! Very excited about my second internship and the summer in Seattle!
Very excited to join the IBM Research Center at Yorktown Heights, New York this summer for my first internship! Will be working on social media data analysis! Really appreciate the offers from the Google Hangout team and the Enterprise Resource Planning team of Microsoft!
Karumur, R., Yu, B., Zhu, H., Konstan, J. Content is King, Leadership Lags: Effects of Prior Experience on Newcomer Retention and Productivity in Online Production Groups. In Proceedings of SIGCHI 2018. Paper PDF
Yu, B., Wang, X., Lin, Y., Ren, Y., Terveen, L., Zhu, H. Out With The Old, In With The New? Unpacking Member Turnover in Online Production Groups. Proc. ACM Hum.-Comput. Interact. 1, 2, Article 117. Paper PDF
Cheng, H., Yu, B., Park, Y., Zhu, H. ProjectLens: Supporting Project-based Collaborative Learning on MOOCs. In Proceedings of ACM Learning @ Scale 2017. Paper PDF
Cranshaw, J., Elwany, E., Newman, T., Kocielnik, R., Yu, B., Soni, S, Teevan, J., Monroy-Hernandez, A. Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop. In Proceedings of SIGCHI 2017. Paper PDF
Yu, B., Ren, Y., Terveen, L., and Zhu, H. Predicting Member Productivity and Withdrawal from Pre-Joining Attachments in Online Production Groups. In Proceedings of CSCW 2017. Paper PDF
Lin, Y., Yu, B., Hall, A., and Hecht, B. Problematizing and Addressing the Article-as-Concept Assumption in Wikipedia. In Proceedings of CSCW 2017. Paper PDF