Department of Computer Science
University of Minnesota, Twin Cities
I am a third-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 mechanism behind the behaviors of online users and their interactions in the Peer Production and Shared Economy systems using statistical models and machine learning algorithms.
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!
Cheng, H., Yu, B, Park, Y, Zhu, H. ProjectLens: Supporting Project-based Collaborative Learning on MOOCs. In Proceedings of ACM Learning @ Scale 2017.
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.
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.
Lin, Y., Yu, B., Hall, A., and Hecht, B. Problematizing and Addressing the Article-as-Concept Assumption in Wikipedia. In Proceedings of CSCW 2017.