Detecting Suggestions in Peer Assessments. - Gabriel Zingle; Balaji Radhakrishnan; Yunkai Xiao; Edward F. Gehringer; Zhongcan Xiao; Ferry Pramudianto; Gauraang Khurana; Ayush Arnav (EDM, 2019)

Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions. - Yang Song 019; Yunkai Xiao; Jonathan Stephens; Emma Ruesch; Sean Roginski; Lucas Layman (ACM Southeast Regional Conference, 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 (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)

PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car. - Gordon Hendry; Seth Harris; Ryan Goodwin; Leonid Neverov; Yunkai Xiao; David Tian; Yang Song 019 (FIE, 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)

Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. - M. Parvez Rashid; Yunkai Xiao; 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)

A New Era of Plagiarism the Danger of Cheating Using AI. - Yunkai Xiao; Soumyadeep Chatterjee; Edward F. Gehringer (ITHET, 2022)

Estimating Student Grades through Peer Assessment as a Crowdsourcing Calibration Problem. - Yunkai Xiao; Yinan Gao; Chuhuai Yue; Edward F. Gehringer (ITHET, 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)