| 2019 | FIE | Improving Feedback on GitHub Pull Requests: A Bots Approach. | Zhewei Hu, Edward F. Gehringer |
| 2019 | FIE | A Test-Driven Approach to Improving Student Contributions to Open-Source Projects. | Zhewei Hu, Yang Song, Edward F. Gehringer |
| 2019 | SIGCSE | Use Bots to Improve GitHub Pull-Request Feedback. | Zhewei Hu, Edward F. Gehringer |
| 2018 | ICSE | Improving formation of student teams: a clustering approach. | Shoaib Akbar, Edward F. Gehringer, Zhewei Hu |
| 2018 | ICSE | Open-source software in class: students' common mistakes. | Zhewei Hu, Yang Song, Edward F. Gehringer |
| 2017 | FIE | Collusion in educational peer assessment: How much do we need to worry about it? | Yang Song, Zhewei Hu, Edward F. Gehringer |
| 2016 | EDM | The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment. | Zhewei Hu, Yang Song, Edward F. Gehringer |
| 2016 | EDM | Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes. | Yang Song, Zhewei Hu, Edward F. Gehringer |
| 2016 | EDM | Toward Better Training in Peer Assessment: Does Calibration Help? | Yang Song, Zhewei Hu, Edward F. Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb |
| 2016 | FIE | Five years of extra credit in a studio-based course: An effort to incentivize socially useful behavior. | Edward F. Gehringer, Zhewei Hu, Yang Song |
| 2016 | FIE | An experiment with separate formative and summative rubrics in educational peer assessment. | Yang Song, Zhewei Hu, Yifan Guo, Edward F. Gehringer |
| 2015 | FIE | Pluggable reputation systems for peer review: A web-service approach. | Yang Song, Zhewei Hu, Edward F. Gehringer |