Qinjin Jia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
5
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | FIE | Interactive Rubric Generator for Instructor's Assessment Using Prompt Engineering and Large Language Models. | Haoze Du, Parvez Rashid, Qinjin Jia, 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 |
| 2023 | ACL | KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. | Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang |
| 2023 | EDM | "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 |
| 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 |
| 2020 | EDM | 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 |
| 2020 | EDM | 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, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer |