Yunkai Xiao - RankMe

16 papers B 7C 1Journal 2Unranked 6

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