Dynamic Time-frequency Feature Extraction for Brain Activity Recognition. - Yang Shi 004; Fangyu Li; Tianming Liu 001; Fred R. Beyette; Wen-Zhan Song 001 (EMBC, 2018)

PoTrojan: powerful neural-level trojan designs in deep learning models. - Minhui Zou; Yang Shi 004; Chengliang Wang 002; Fangyu Li; Wen-Zhan Song 001; Yu Wang 002 (CoRR, 2018)

Energy audition based cyber-physical attack detection system in IoT. - Yang Shi 004; Fangyu Li; Wen-Zhan Song 001; Xiangyang Li 001; Jin Ye 001 (ACM TUR-C, 2019)

System Statistics Learning-Based IoT Security: Feasibility and Suitability. - Fangyu Li; Aditya Shinde; Yang Shi 004; Jin Ye 001; Xiang-Yang Li 001; Wen-Zhan Song 001 (IEEE Internet Things J., 2019)

Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing. - Fangyu Li; Yang Shi 004; Aditya Shinde; Jin Ye 001; Wen-Zhan Song 001 (IEEE Internet Things J., 2019)

Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors. - Wengran Wang; Yudong Rao; Yang Shi 004; Alexandra Milliken; Chris Martens 001; Tiffany Barnes; Thomas W. Price (CSEDM@EDM, 2020)

More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. - Yang Shi 004; Ye Mao; Tiffany Barnes; Min Chi; Thomas W. Price (EDM, 2021)

Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. - Ye Mao; Yang Shi 004; Samiha Marwan; Thomas W. Price; Tiffany Barnes; Min Chi (EDM, 2021)

Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. - Samiha Marwan; Yang Shi 004; Ian Menezes; Min Chi; Tiffany Barnes; Thomas W. Price (EDM, 2021)

Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress). - Poorvaja Penmetsa; Yang Shi 004; Thomas W. Price (EDM (Workshops), 2021)

Toward Semi-Automatic Misconception Discovery Using Code Embeddings. - Yang Shi 004; Krupal Shah; Wengran Wang; Samiha Marwan; Poorvaja Penmetsa; Thomas W. Price (LAK, 2021)

Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. - Yang Shi 004; Min Chi; Tiffany Barnes; Thomas W. Price (EDM, 2022)

6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Bita Akram; Thomas W. Price; Yang Shi 004; Peter Brusilovsky; Sharon I-Han Hsiao (EDM, 2022)

Identifying Common Errors in Open-Ended Machine Learning Projects. - James Skripchuk; Yang Shi 004; Thomas W. Price (SIGCSE (1), 2022)

Detecting ChatGPT-Generated Code in a CS1 Course. - Muntasir Hoq; Yang Shi 004; Juho Leinonen 001; Damilola Babalola; Collin F. Lynch; Bita Akram (LLM@AIED, 2023)

KC-Finder: Automated Knowledge Component Discovery for Programming Problems. - Yang Shi 004; Robin Schmucker; Min Chi; Tiffany Barnes; Thomas W. Price (EDM, 2023)

Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience. - Wengran Wang; John Bacher; Amy Isvik; Ally Limke; Sandeep Sthapit; Yang Shi 004; Benyamin T. Tabarsi; Keith Tran; Veronica Cateté; Tiffany Barnes; Chris Martens 001; Thomas W. Price (ICER (1), 2023)

Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners. - Francisco Castro 001; Sangho Suh; Jane L. E; Weena Naowaprateep; Yang Shi 004 (SIGCSE (2), 2023)

Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. - Zhengdong Zhang; Zihan Dong; Yang Shi 004; Thomas W. Price; Noboru Matsuda; Dongkuan Xu (AAAI, 2024)

8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Yang Shi 004; Peter Brusilovsky; Bita Akram; Thomas W. Price; Juho Leinonen 001; Kenneth R. Koedinger; Andrew S. Lan (EDM, 2024)

Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. - Yang Shi 004; Min Chi; Tiffany Barnes; Thomas W. Price (EDM, 2024)

An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. - Alex Hicks; Yang Shi 004; Arun Balajiee Lekshmi Narayanan; Wei Yan; Samiha Marwan (CSEDM@EDM, 2024)

Overcoming Barriers in Scaling Computing Education Research Programming Tools: A Developer's Perspective. - Keith Tran; John Bacher; Yang Shi 004; James Skripchuk; Thomas W. Price (ICER (1), 2024)

Are Engineering Students Motivated by Interacting With Simulations They Program? A Controlled Study. - John Bacher; Thomas W. Price; James Skripchuk; Wengran Wang; Yang Shi 004; Keith Tran (SIGCSE Virtual (1), 2024)

Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models. - Aysa X. Fan; Rully Agus Hendrawan; Yang Shi 004; Qianou Ma (SIGCSE (2), 2024)

Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. - Muntasir Hoq; Yang Shi 004; Juho Leinonen 001; Damilola Babalola; Collin F. Lynch; Thomas W. Price; Bita Akram (SIGCSE (1), 2024)

Novices' Perceptions of Web-Search and AI for Programming. - James Skripchuk; John Bacher; Yang Shi 004; Keith Tran; Thomas W. Price (SIGCSE (2), 2024)

9th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Bita Akram; Yang Shi 004; Peter Brusilovsky; Thomas W. Price; Ken Koedinger; Paulo Carvalho 004; Shan Zhang 003; Andrew S. Lan; Juho Leinonen 001 (EDM, 2025)

srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML. - Maciej Pankiewicz; Yang Shi 004; Ryan S. Baker 001 (EDM, 2025)

Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling. - Rafaella Sampaio de Alencar; Mehmet Arif Demirtas; Adittya Soukarjya Saha; Yang Shi 004; Peter Brusilovsky (UMAP, 2025)