Problem detection in peer assessments between subjects by effective transfer learning and active learning. - Yunkai Xiao; Gabriel Zingle; Qinjin Jia; Shoaib Akbar; Song Yang; Muyao Dong; Li Qi; Edward F. Gehringer (EDM, 2020)

Detecting Problem Statements in Peer Assessments. - Yunkai Xiao; Gabriel Zingle; Qinjin Jia; Harsh R. Shah; Yi Zhang; Tianyi Li; Mohsin Karovaliya; Weixiang Zhao; Yang Song 019; Jie Ji; Ashwin Balasubramaniam; Harshit Patel; et al. (EDM, 2020)

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 (EDM, 2021)

Peer Assessment Rubric Analyzer: An NLP approach to analyzing rubric items for better peer-review. - M. Parvez Rashid; Edward F. Gehringer; Mitchell Young; Divyang Doshi; Qinjin Jia; Yunkai Xiao (ITHET, 2021)

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 (EDM, 2022)

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 (EDM, 2022)

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 (ICSE (SEET), 2022)

Modeling review helpfulness with augmented transformer neural networks. - Yunkai Xiao; Tianle Wang 005; Xinhua Sun; Yicong Li 003; Yang Song 019; Jialin Cui; Qinjin Jia; Chengyuan Liu; Edward F. Gehringer (ICSC, 2022)

KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. - Qinjin Jia; Yang Liu 019; Daoping Wu; Shaoyuan Xu; Huidong Liu; Jinmiao Fu; Roland Vollgraf; Bryan Wang (ACL (industry), 2023)

"Can we reach agreement?": A context- and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative feedback. - M. Parvez Rashid; Divyang Doshi; Sai Venkata Vinay; Qinjin Jia; Edward F. Gehringer (EDM, 2023)

Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML. - Kylie Griep; Leah Stone; Stephen Edwards; Malik Hill; Jialin Cui; Chengyuan Liu; Qinjin Jia; Yang Song 019 (MLNLP, 2023)

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 (EDM, 2024)

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 (EDM, 2024)

Generative AI for Peer Assessment Helpfulness Evaluation. - Chengyuan Liu; Jialin Cui; Ruixuan Shang; Qinjin Jia; M. Parvez Rashid; Edward F. Gehringer (EDM, 2024)

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 (FIE, 2024)

Interactive Rubric Generator for Instructor's Assessment Using Prompt Engineering and Large Language Models. - Haoze Du; Parvez Rashid; Qinjin Jia; Edward F. Gehringer (FIE, 2024)

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 019; Edward F. Gehringer (ITiCSE (1), 2024)

Harnessing large language models to auto-evaluate the student project reports. - Haoze Du; Qinjin Jia; Edward F. Gehringer; Xianfang Wang (Comput. Educ. Artif. Intell., 2024)