Yunkai Xiao

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 16

Top Topics

Practice Questions

Erroneous Examples

Peer Assessment

Transfer Learning

Top Venues

Publications

M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer
Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. EDM (2022)
Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer
Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning. EDM (2022)
Jialin Cui, Ruochi Li, Kaida Lou, Chengyuan Liu, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer, Runqiu Zhang
Can Pre-class GitHub Contributions Predict Success by Student Teams? ICSE (SEET) (2022)
Yunkai Xiao, Soumyadeep Chatterjee, Edward F. Gehringer
A New Era of Plagiarism the Danger of Cheating Using AI. ITHET (2022)
Yunkai Xiao, Yinan Gao, Chuhuai Yue, Edward F. Gehringer
Estimating Student Grades through Peer Assessment as a Crowdsourcing Calibration Problem. ITHET (2022)
Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer
Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. EDM (2022)
Yunkai Xiao, Tianle Wang, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F. Gehringer
Modeling review helpfulness with augmented transformer neural networks. ICSC (2022)
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid, Edward F. Gehringer
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. CoRR (2021)
M. Parvez Rashid, Edward F. Gehringer, Mitchell Young, Divyang Doshi, Qinjin Jia, Yunkai Xiao
Peer Assessment Rubric Analyzer: An NLP approach to analyzing rubric items for better peer-review. ITHET (2021)
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid, Edward F. Gehringer
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. EDM (2021)
Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song
PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car. FIE (2021)
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
Detecting Problem Statements in Peer Assessments. EDM (2020)
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Shoaib Akbar, Song Yang, Muyao Dong, Li Qi, Edward F. Gehringer
Problem detection in peer assessments between subjects by effective transfer learning and active learning. EDM (2020)
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
Detecting Problem Statements in Peer Assessments. CoRR (2020)
Yang Song, Yunkai Xiao, Jonathan Stephens, Emma Ruesch, Sean Roginski, Lucas Layman
Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions. ACM Southeast Regional Conference (2020)
Gabriel Zingle, Balaji Radhakrishnan, Yunkai Xiao, Edward F. Gehringer, Zhongcan Xiao, Ferry Pramudianto, Gauraang Khurana, Ayush Arnav
Detecting Suggestions in Peer Assessments. EDM (2019)