| 2024 | EDM | LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors. | Qinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer |
| 2024 | EDM | On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments. | Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer |
| 2024 | EDM | Generative AI for Peer Assessment Helpfulness Evaluation. | Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer |
| 2024 | FIE | A Statistical Study of Female Students in a Software Engineering Class: Preparedness, Performance, and Contribution. | Jialin Cui, Runqiu Zhang, Qinjin Jia, Fangtong Zhou, Ruochi Li, Edward F. Gehringer |
| 2024 | ITiCSE | Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. | Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer |
| 2024 | ITiCSE | A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. | Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer |
| 2024 | SIGCSE | How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study. | Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer |
| 2023 | FIE | Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics. | Jialin Cui, Fangtong Zhou, Runqiu Zhang, Ruochi Li, Chengyuan Liu, Edward F. Gehringer |
| 2023 | ITiCSE | Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. | Jialin Cui, Runqiu Zhang, Ruochi Li, Yang Song, Fangtong Zhou, Edward F. Gehringer |
| 2022 | EDM | Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. | Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer |
| 2022 | EDM | Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning. | Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer |
| 2022 | ICSE | Can Pre-class GitHub Contributions Predict Success by Student Teams? | Jialin Cui, Ruochi Li, Kaida Lou, Chengyuan Liu, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer, Runqiu Zhang |
| 2021 | EDM | ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. | Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer |
| 2008 | ISKE | A low complexity and high performance real-time algorithm of detecting and tracking circular shape in hole-punching machine. | Yigang Wang, Yangguang Liu, Zhuoyuan Wang, Shengli Fan, Jialin Cui |