| Enhanced cyber-physical security in internet of things through energy auditing F Li, Y Shi, A Shinde, J Ye, W Song IEEE Internet of Things Journal 6 (3), 5224-5231, 2019 | 120 | 2019 |
| System statistics learning-based IoT security: Feasibility and suitability F Li, A Shinde, Y Shi, J Ye, XY Li, W Song IEEE Internet of Things Journal 6 (4), 6396-6403, 2019 | 100 | 2019 |
| PoTrojan: powerful neural-level trojan designs in deep learning models M Zou, Y Shi, C Wang, F Li, WZ Song, Y Wang arXiv preprint arXiv:1802.03043, 2018 | 72 | 2018 |
| Toward semi-automatic misconception discovery using code embeddings Y Shi, K Shah, W Wang, S Marwan, P Penmetsa, T Price LAK21: 11th International Learning Analytics and Knowledge Conference, 606-612, 2021 | 38 | 2021 |
| More with Less: Exploring How to Use Deep Learning Effectively through Semi-Supervised Learning for Automatic Bug Detection in Student Code. Y Shi, Y Mao, T Barnes, M Chi, TW Price Educational Data Mining 2021, 2021 | 21 | 2021 |
| Energy audition based cyber-physical attack detection system in IoT Y Shi, F Li, WZ Song, XY Li, J Ye Proceedings of the ACM Turing Celebration Conference-China, 1-5, 2019 | 20 | 2019 |
| Knowing" When" and" Where": Temporal-ASTNN for Student Learning Progression in Novice Programming Tasks. Y Mao, Y Shi, S Marwan, TW Price, T Barnes, M Chi Educational Data Mining 2021, 2021 | 18* | 2021 |
| Code-DKT: A code-based knowledge tracing model for programming tasks Y Shi, M Chi, T Barnes, T Price EDM 2022, 2022 | 13 | 2022 |
| Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. S Marwan, Y Shi, I Menezes, M Chi, T Barnes, TW Price Educational Data Mining 2021, 2021 | 13 | 2021 |
| Dynamic Time-frequency Feature Extraction for Brain Activity Recognition Y Shi, F Li, T Liu, FR Beyette, WZ Song 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 12 | 2018 |
| KC-Finder: Automated Knowledge Component Discovery for Programming Problems. Y Shi, R Schmucker, M Chi, T Barnes, T Price International Educational Data Mining Society, 2023 | 8 | 2023 |
| Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors W Wang, Y Rao, Y Shi, A Milliken, C Martens, T Barnes, TW Price 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2020 | 7 | 2020 |
| Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models M Hoq, Y Shi, J Leinonen, D Babalola, C Lynch, T Price, B Akram | 6* | 2024 |
| Identifying Common Errors in Open-Ended Machine Learning Projects J Skripchuk, Y Shi, T Price Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022 | 5 | 2022 |
| Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course P Penmetsa, Y Shi, T Price CSEDM 2021, https://ceur-ws.org/Vol-3051/CSEDM_12.pd, 2021 | 5 | 2021 |
| Students’ perceptions and preferences of generative artificial intelligence feedback for programming Z Zhang, Z Dong, Y Shi, T Price, N Matsuda, D Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23250 …, 2024 | 2 | 2024 |
| Interpretable Code-Informed Learning Analytics for CS Education Y Shi Companion Proceedings 13 th International Conference on Learning Analytics …, 2023 | 2 | 2023 |
| Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners F Castro, S Suh, JL E, W Naowaprateep, Y Shi Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2023 | 2 | 2023 |
| An Overview of Code2vec in Student Modeling for Programming Education Y Shi, T Price MMTC Communications-Frontiers, 2021 | 2 | 2021 |
| Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience W Wang, J Bacher, A Isvik, A Limke, S Sthapit, Y Shi, BT Tabarsi, K Tran, ... Proceedings of the 2023 ACM Conference on International Computing Education …, 2023 | 1 | 2023 |
Thomas W. PriceAssistant Professor, North Carolina State University在 ncsu.edu 的电子邮件经过验证
