Yang Shi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Computing Education

Programming Course

Student Success

Top Venues

IEEE Internet Things J.

Publications

Aysa X. Fan, Rully Agus Hendrawan, Yang Shi, Qianou Ma
Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models. SIGCSE (2) (2024)
Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. CoRR (2024)
Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. AAAI (2024)
Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. SIGCSE (1) (2024)
James Skripchuk, John Thomas Bacher, Yang Shi, Keith Tran, Thomas W. Price
Novices' Perceptions of Web-Search and AI for Programming. SIGCSE (2) (2024)
Keith Tran, John Thomas Bacher, Yang Shi, James Skripchuk, Thomas W. Price
Overcoming Barriers in Scaling Computing Education Research Programming Tools: A Developer's Perspective. ICER (1) (2024)
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM (2023)
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. EDM (2022)
Wengran Wang, John Thomas Bacher, Amy Isvik, Ally Limke, Sandeep Sthapit, Yang Shi, Benyamin T. Tabarsi, Keith Tran, Veronica Cateté, Tiffany Barnes, Chris Martens, Thomas W. Price
Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience. ICER (1) (2022)
Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM (2022)
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. CoRR (2022)
Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. EDM (2021)
Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. EDM (2021)
Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. EDM (2021)
Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price
Toward Semi-Automatic Misconception Discovery Using Code Embeddings. LAK (2021)
Poorvaja Penmetsa, Yang Shi, Thomas W. Price
Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress). EDM (Workshops) (2021)
Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price
Toward Semi-Automatic Misconception Discovery Using Code Embeddings. CoRR (2021)
Wengran Wang, Yudong Rao, Yang Shi, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price
Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors. CSEDM@EDM (2020)
Yang Shi, Fangyu Li, Wen-Zhan Song, Xiangyang Li, Jin Ye
Energy audition based cyber-physical attack detection system in IoT. ACM TUR-C (2019)
Fangyu Li, Yang Shi, Aditya Shinde, Jin Ye, Wen-Zhan Song
Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing. IEEE Internet Things J. 6 (3) (2019)
Fangyu Li, Aditya Shinde, Yang Shi, Jin Ye, Xiang-Yang Li, Wen-Zhan Song
System Statistics Learning-Based IoT Security: Feasibility and Suitability. IEEE Internet Things J. 6 (4) (2019)
Yang Shi, Fangyu Li, Tianming Liu, Fred R. Beyette, Wen-Zhan Song
Dynamic Time-frequency Feature Extraction for Brain Activity Recognition. EMBC (2018)
Minhui Zou, Yang Shi, Chengliang Wang, Fangyu Li, Wen-Zhan Song, Yu Wang
PoTrojan: powerful neural-level trojan designs in deep learning models. CoRR (2018)