Yunkai Xiao

According to our database, Yunkai Xiao authored at least 14 papers between 2019 and 2022.

Collaborative distances:

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

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

Estimating Student Grades through Peer Assessment as a Crowdsourcing Calibration Problem.

Yunkai Xiao, Yinan Gao, Chuhuai Yue, Edward F. Gehringer

Proceedings of the 20th International Conference on Information Technology Based Higher Education and Training, 2022

A New Era of Plagiarism the Danger of Cheating Using AI.

Yunkai Xiao, Soumyadeep Chatterjee, Edward F. Gehringer

Proceedings of the 20th International Conference on Information Technology Based Higher Education and Training, 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

Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective.

M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer

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

PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car.

Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song

Proceedings of the IEEE Frontiers in Education Conference, 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

Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions.

Yang Song, Yunkai Xiao, Jonathan Stephens, Emma Ruesch, Sean Roginski, Lucas Layman

Proceedings of the 2020 ACM Southeast Conference, 2020

2019

Detecting Suggestions in Peer Assessments.

Gabriel Zingle, Balaji Radhakrishnan, Yunkai Xiao, Edward F. Gehringer, Zhongcan Xiao, Ferry Pramudianto, Gauraang Khurana, Ayush Arnav

Proceedings of the 12th International Conference on Educational Data Mining, 2019