Works (17)

Updated: September 11th, 2023 05:03

2023 conference paper

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).

Source: ORCID
Added: September 11, 2023

2022 article

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

ArXiv.

By: Y. Shi*, M. Chi, T. Barnes & T. Price

Source: ORCID
Added: December 10, 2022

2022 conference paper

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).

Source: ORCID
Added: March 7, 2023

2022 article

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.

By: J. Skripchuk n, Y. Shi n & T. Price n

author keywords: Computer science education; Machine learning education; Data science
Sources: ORCID, Web Of Science
Added: July 23, 2022

2021 conference paper

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

By: P. Penmetsa, Y. Shi & T. Price

Source: ORCID
Added: December 10, 2022

2021 conference paper

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

Source: ORCID
Added: January 7, 2022

2021 conference paper

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

Source: ORCID
Added: January 7, 2022

2021 conference paper

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

Source: ORCID
Added: January 7, 2022

2021 article

Toward Semi-Automatic Misconception Discovery Using Code Embeddings

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

By: Y. Shi n, K. Shah n, W. Wang n, S. Marwan n, P. Penmetsa n & T. Price n

author keywords: Neural Network; Code Analysis; Automatic Assessment; Learning Representation
Sources: ORCID, Web Of Science
Added: October 21, 2021

2021 article

Toward semi-automatic misconception discovery using code embeddings

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

By: Y. Shi, K. Shah, W. Wang, S. Marwan, P. Penmetsa & T. Price

Source: ORCID
Added: December 10, 2022

2020 conference paper

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

By: W. Wang, Y. Rao, Y. Shi, A. Milliken, C. Martens, T. Barnes, T. Price

Source: ORCID
Added: December 10, 2022

2020 article

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

By: C. Chen, C. Huang, Y. Hou, Y. Shi, E. Dai & J. Wang

Source: ORCID
Added: December 10, 2022

2019 conference paper

Energy audition based cyber-physical attack detection system in IoT

Proceedings of the ACM Turing Celebration Conference - China.

By: Y. Shi*, F. Li, W. Song, X. Li* & J. Ye

Source: ORCID
Added: October 21, 2021

2019 journal article

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

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

By: F. Li*, Y. Shi*, A. Shinde*, J. Ye* & W. Song*

author keywords: Cyber and physical attack detection; deep learning (DL); energy audit; Internet of Things (IoT)
Source: ORCID
Added: September 4, 2019

2019 journal article

System Statistics Learning-Based IoT Security: Feasibility and Suitability

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

By: F. Li*, A. Shinde*, Y. Shi*, J. Ye*, X. Li* & W. Song*

author keywords: Anomaly detection; deep learning; failure and intrusion detection; Internet of Things (IoT); machine learning
Source: ORCID
Added: September 4, 2019

2018 conference paper

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.

By: Y. Shi*, F. Li*, T. Liu*, F. Beyette* & W. Song*

MeSH headings : Algorithms; Brain; Electroencephalography; Imagery, Psychotherapy; Signal Processing, Computer-Assisted
Source: ORCID
Added: September 4, 2019

2018 article

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

(2018, February 8).

Source: ORCID
Added: September 4, 2019

Employment

Updated: January 5th, 2022 12:48

2019 - present

North Carolina State University Raleigh, North Carolina, US
Graduate Assistant Department of Computer Science

2019 - 2019

Stratifyd Inc Charlotte, NC, US
Research Scientist Intern

2015 - 2019

University of Georgia Athens, GA, US
Graduate Assistant Computer Science

Education

Updated: January 5th, 2022 12:49

2019 - present

North Carolina State University Raleigh, NC, US
Doctor of Philosophy Department of Computer Science

2018 - 2019

University of Georgia Athens, GA, US
doctor of philosophy Computer Science

2015 - 2017

University of Georgia Athens, Georgia, US
Master of Science Department of Computer Science

2011 - 2015

Central South University Changsha, Hunan, CN
Bachelor of Engineering Department of Automation