| An empirical study of pre-trained model reuse in the hugging face deep learning model registry W Jiang, N Synovic, M Hyatt, TR Schorlemmer, R Sethi, YH Lu, ... 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 116 | 2023 |
| An empirical study of artifacts and security risks in the pre-trained model supply chain W Jiang, N Synovic, R Sethi, A Indarapu, M Hyatt, TR Schorlemmer, ... Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive …, 2022 | 60 | 2022 |
| Reusing deep learning models: Challenges and directions in software engineering JC Davis, P Jajal, W Jiang, TR Schorlemmer, N Synovic, ... 2023 IEEE John Vincent Atanasoff International Symposium on Modern Computing …, 2023 | 38 | 2023 |
| Peatmoss: A dataset and initial analysis of pre-trained models in open-source software W Jiang, J Yasmin, J Jones, N Synovic, J Kuo, N Bielanski, Y Tian, ... Proceedings of the 21st International Conference on Mining Software …, 2024 | 37 | 2024 |
| What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims J Jones, W Jiang, N Synovic, G Thiruvathukal, J Davis Proceedings of the 18th ACM/IEEE international symposium on empirical …, 2024 | 32 | 2024 |
| Challenges and practices of deep learning model reengineering: A case study on computer vision W Jiang, V Banna, N Vivek, A Goel, N Synovic, GK Thiruvathukal, ... Empirical Software Engineering 29 (6), 142, 2024 | 31 | 2024 |
| Ptmtorrent: A dataset for mining open-source pre-trained model packages W Jiang, N Synovic, P Jajal, TR Schorlemmer, A Tewari, B Pareek, ... 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 25 | 2023 |
| Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics NM Synovic, M Hyatt, R Sethi, S Thota, Shilpika, AJ Miller, W Jiang, ... Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 8 | 2022 |
| An empirical study of pre-trained model reuse in the hugging face deep learning model registry. arXiv 2023 W Jiang, N Synovic, M Hyatt, TR Schorlemmer, R Sethi, YH Lu, ... arXiv preprint arXiv:2303.02552, 0 | 6 | |
| PeaTMOSS: Mining Pre-Trained Models in Open-Source Software W Jiang, J Jones, J Yasmin, N Synovic, R Sashti, S Chen, ... arXiv preprint arXiv:2310.03620, 2023 | 5 | 2023 |
| PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR). 57–61 W Jiang, N Synovic, P Jajal, TR Schorlemmer, A Tewari, B Pareek, ... | 5 | 2023 |
| Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study S Shimmi, NM Synovic, M Rahimi, GK Thiruvathukal arXiv preprint arXiv:2510.26676, 2025 | | 2025 |
| SCODA: An Emerging Pipeline for Evaluating Distributed Database Performance to Support Operational Data Analytics NM Synovic, GK Thiruvathukal, SR Shilpika, D Waldron, ME Papka | | 2025 |
| An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions C Tung, N Eliopoulos, P Jajal, G Ramshankar, CY Yang, N Synovic, ... 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 890-895, 2024 | | 2024 |
| Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics N Synovic, E Amobi, E Greve, S Von Hatten, A Pinderski, S Rodriguez, ... | | 2021 |
| Toward a containerized pipeline for longitudinal analysis of open-source software projects A Miller, G Thiruvathukal, K Laufer, E Amobi, S Higgins, L Maliakal, ... | | 2020 |
| Process-based Predictors of Vulnerability Re-introduction S Shimmi, NM Synovic, M Rahimi, GK Thiruvathukal Workshop on Mining Software Repositories Applications for Privacy and …, 2018 | | 2018 |
George K. Thiruvathukal, PhDProfessor/Chair, Loyola University Chicago; Visiting Computer Scientist, Argonne National LaboratoryVerified email at cs.luc.edu
