Yang Shi

Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience

Wang, W., Bacher, J., Isvik, A., Limke, A., Sthapit, S., Shi, Y., … Price, T. (2023, August 7).

Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks

ArXiv.

Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners

Castro, F., Suh, S., E, J. L., Naowaprateep, W., & Shi, Y. (2022, March).

Identifying Common Errors in Open-Ended Machine Learning Projects

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, Vol. 1, pp. 216–222.

Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course

CEUR Workshop Proceedings, 3051. http://www.scopus.com/inward/record.url?eid=2-s2.0-85122896934&partnerID=MN8TOARS

Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming

Educational Data Mining 2021. https://eric.ed.gov/?id=ED615599

Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks

Educational Data Mining 2021. https://eric.ed.gov/?id=ED615543

More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code

Educational Data Mining 2021. https://eric.ed.gov/?id=ED615586

Toward Semi-Automatic Misconception Discovery Using Code Embeddings

LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 606–612.

Toward semi-automatic misconception discovery using code embeddings

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85102809405&partnerID=MN8TOARS

Comparing feature engineering approaches to predict complex programming behaviors

CEUR Workshop Proceedings, 2734. http://www.scopus.com/inward/record.url?eid=2-s2.0-85096164837&partnerID=MN8TOARS

Test_positive at W-nut 2020 shared task-3: Joint event multi-task learning for slot filling in noisy text

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85098406978&partnerID=MN8TOARS

Energy audition based cyber-physical attack detection system in IoT

Proceedings of the ACM Turing Celebration Conference - China.

Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing

IEEE Internet of Things Journal, 6(3), 5224–5231.

System Statistics Learning-Based IoT Security: Feasibility and Suitability

IEEE Internet of Things Journal, 6(4), 6396–6403.

Dynamic Time-frequency Feature Extraction for Brain Activity Recognition

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018-July, 3104–3107.

PoTrojan: powerful neural-level trojan designs in deep learning models

(2018, February 8).