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2020 – today
- 2022
[c14]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- [c13]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 - [c12]M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer:
Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. EDM 2022 - [c11]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: 40-49 - [c10]Yunkai Xiao, Soumyadeep Chatterjee
, Edward F. Gehringer:
A New Era of Plagiarism the Danger of Cheating Using AI. ITHET 2022: 1-6 - [c9]Yunkai Xiao, Yinan Gao, Chuhuai Yue, Edward F. Gehringer:
Estimating Student Grades through Peer Assessment as a Crowdsourcing Calibration Problem. ITHET 2022: 1-9 - [c8]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: 83-90 - 2021
- [c7]Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. EDM 2021 - [c6]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: 1-5 - [c5]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: 1-9 - [i2]Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. CoRR abs/2110.03895 (2021) - 2020
- [c4]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: 313-314 - [c3]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 - [c2]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 - [i1]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 abs/2006.04532 (2020)
2010 – 2019
- 2019
- [c1]Gabriel Zingle, Balaji Radhakrishnan, Yunkai Xiao, Edward F. Gehringer, Zhongcan Xiao, Ferry Pramudianto, Gauraang Khurana, Ayush Arnav:
Detecting Suggestions in Peer Assessments. EDM 2019
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