ML-Asset Management: Curation, Discovery, and Utilization
Summary: Tutorial surveying ML-asset management across curation, discovery, and utilization, with taxonomy, techniques, and practical systems. Highlights database challenges of scalable unified indexing, lineage, licensing, and interoperable access across fragmented asset silos. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mengying Wang (Case Western Reserve University)
- 2. Moming Duan (National University of Singapore)
- 3. Yicong Huang (University of California Irvine)
- 4. Chen Li (University of California Irvine)
- 5. Bingsheng He (National University of Singapore)
- 6. Yinghui Wu (Case Western Reserve University)
BibTeX Citation
@article{wang_vldb25,
title = {{ML-Asset Management: Curation, Discovery, and Utilization}},
author = {Wang, Mengying and Duan, Moming and Huang, Yicong and Li, Chen and He, Bingsheng and Wu, Yinghui},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5493--5498},
doi = {10.14778/3750601.3750701},
url = {https://doi.org/10.14778/3750601.3750701},
year = {2025}
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