Qinjin Jia

According to our database, Qinjin Jia authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 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

Proceedings of the 16th International Conference on Educational Data Mining, 2023

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

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Modeling review helpfulness with augmented transformer neural networks.

Yunkai Xiao, Tianle Wang, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F. Gehringer

Proceedings of the 16th IEEE International Conference on Semantic Computing, 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

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

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

Proceedings of the 19th International Conference on Information Technology Based Higher Education and Training, 2021

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

Proceedings of the 14th International Conference on Educational Data Mining, 2021

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, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer

Proceedings of the 13th International Conference on Educational Data Mining, 2020

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

Proceedings of the 13th International Conference on Educational Data Mining, 2020