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Wenxin Jiang
Wenxin Jiang
Ph.D. student@ECE, Purdue University
在 purdue.edu 的电子邮件经过验证 - 首页
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引用次数
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年份
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
452023
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
212022
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
152023
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
132021
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
102023
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
102023
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
102022
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
82023
Naming Practices of Pre-Trained Models in Hugging Face
W Jiang, C Cheung, M Kim, H Kim, GK Thiruvathukal, JC Davis
arXiv preprint arXiv:2310.01642, 2024
6*2024
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, ...
2024 IEEE/ACM 21th International Conference on Mining Software Repositories …, 2024
32024
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
22022
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
12022
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
J Jones, W Jiang, N Synovic, GK Thiruvathukal, JC Davis
arXiv preprint arXiv:2406.08205, 2024
2024
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden
V Purohit, W Jiang, AR Ravikiran, JC Davis
arXiv preprint arXiv:2404.18801, 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
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