| 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 | 32 | 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 | 14 | 2022 |
| An experience report on machine learning reproducibility: Guidance for practitioners and TensorFlow model garden contributors V Banna, A Chinnakotla, Z Yan, A Vegesana, N Vivek, K Krishnappa, ... arXiv preprint arXiv:2107.00821, 2021 | 13 | 2021 |
| 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 | 7 | 2023 |
| 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 | 7 | 2023 |
| Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability D Montes, P Peerapatanapokin, J Schultz, C Guo, W Jiang, JC Davis Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 7 | 2022 |
| 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, ... arXiv preprint arXiv:2303.07476, 2023 | 5 | 2023 |
| Analysis of failures and risks in deep learning model converters: A case study in the onnx ecosystem P Jajal, W Jiang, A Tewari, J Woo, GK Thiruvathukal, JC Davis arXiv preprint arXiv:2303.17708, 2023 | 4 | 2023 |
| Exploring naming conventions (and defects) of pre-trained deep learning models in hugging face and other model hubs W Jiang, C Cheung, GK Thiruvathukal, JC Davis arXiv preprint arXiv:2310.01642, 2023 | 3 | 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 | 2 | 2022 |
| Establishing trust in vehicle-to-vehicle coordination: A sensor fusion approach J Veselsky, J West, I Ahlgren, GK Thiruvathukal, N Klingensmith, A Goel, ... 2022 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for …, 2022 | 1 | 2022 |
| 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, ... arXiv preprint arXiv:2402.00699, 2024 | | 2024 |
| 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 | | 2023 |
James C DavisAssistant Professor of ECE, Purdue UniversityVerified email at purdue.edu
