Pluggable reputation systems for peer review: A web-service approach. - Yang Song 019; Zhewei Hu; Edward F. Gehringer (FIE, 2015)

Closing the Circle: Use of Students' Responses for Peer-Assessment Rubric Improvement. - Yang Song 019; Zhewei Hu; Edward F. Gehringer (ICWL, 2015)

The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment. - Zhewei Hu; Yang Song 019; Edward F. Gehringer (EDM (Workshops), 2016)

Peer Review Data Warehouse: Insights From Different Systems. - Ferry Pramudianto; Maryam Aljeshi; Hisham Alhussein; Yang Song 019; Edward F. Gehringer; Dmytro Babik; David Tinapple (EDM (Workshops), 2016)

Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes. - Yang Song 019; Zhewei Hu; Edward F. Gehringer (EDM (Workshops), 2016)

Toward Better Training in Peer Assessment: Does Calibration Help? - Yang Song 019; Zhewei Hu; Edward F. Gehringer; Julia Morris; Jennifer Kidd; Stacie Ringleb (EDM (Workshops), 2016)

Five years of extra credit in a studio-based course: An effort to incentivize socially useful behavior. - Edward F. Gehringer; Zhewei Hu; Yang Song 019 (FIE, 2016)

A quantitative case study on students' strategy for using authorized cheat-sheets. - Yang Song 019; Yifan Guo; David Thuente (FIE, 2016)

An experiment with separate formative and summative rubrics in educational peer assessment. - Yang Song 019; Zhewei Hu; Yifan Guo; Edward F. Gehringer (FIE, 2016)

A markup language for building a data warehouse for educational peer-assessment research. - Yang Song 019; Ferry Pramudianto; Edward F. Gehringer (FIE, 2016)

Collusion in educational peer assessment: How much do we need to worry about it? - Yang Song 019; Zhewei Hu; Edward F. Gehringer (FIE, 2017)

Open-source software in class: students' common mistakes. - Zhewei Hu; Yang Song 019; Edward F. Gehringer (ICSE (SEET), 2018)

Early Detection on Students' Failing Open-Source based Course Projects using Machine Learning Approaches: (Abstract Only). - Yifan Guo; Yang Song 019; Edward F. Gehringer (SIGCSE, 2018)

A Test-Driven Approach to Improving Student Contributions to Open-Source Projects. - Zhewei Hu; Yang Song 019; Edward F. Gehringer (FIE, 2019)

Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis. - Lucas Layman; Yang Song 019; Curry I. Guinn (ACM Southeast Regional Conference, 2020)

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)

EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage. - Mark Klose; Vasvi Desai; Yang Song 019; 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)

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)

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)

Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. - Jialin Cui; Runqiu Zhang; Ruochi Li; Yang Song 019; Fangtong Zhou; Edward F. Gehringer (ITiCSE (1), 2023)

Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML. - Kylie Griep; Leah Stone; Stephen Edwards; Malik Hill; Jialin Cui; Chengyuan Liu; Qinjin Jia; Yang Song 019 (MLNLP, 2023)

An Application of Co-plot Analysis: A Multidimensional Scaling Data Visualization. - Priyanka Poosapati; Yao Shi; Judith Gebauer; Yang Song 019 (MLNLP, 2023)

How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics. - Jialin Cui; Runqiu Zhang; Fangtong Zhou; Ruochi Li; Yang Song 019; Edward F. Gehringer (CSEE&T, 2024)

Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. - Jialin Cui; Fangtong Zhou; Chengyuan Liu; Qinjin Jia; Yang Song 019; Edward F. Gehringer (ITiCSE (1), 2024)

A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. - Jialin Cui; Runqiu Zhang; Ruochi Li; Fangtong Zhou; Yang Song 019; Edward F. Gehringer (ITiCSE (1), 2024)

How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study. - Jialin Cui; Runqiu Zhang; Ruochi Li; Fangtong Zhou; Yang Song 019; Edward F. Gehringer (SIGCSE (1), 2024)

BlueAI: Designing Artificial Intelligence for Environment Science and Climate Change Learning Experiences for K12 Students. - Gülüstan Dogan 001; Elif Sahin; Catherine Fay Wilkinson; Amelia K. Moody; Yang Song 019 (J. Comput. Sci. Coll., 2024)