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Powering In-Database Dynamic Model Slicing for Structured Data Analytics

Summary: LEADS: SQL-aware dynamic model slicing that trains a Mixture-of-Experts over relational data and uses a SQL-aware gating network to activate experts per SQL query, customizing models to extracted subdatasets. Implemented as a PostgreSQL inference extension, yielding better accuracy and much lower latency. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13911
Venue
VLDB
Year
2024
Pagerank
5.2634238e-05
Overall Rank
9,470 | 35.03%
DOI
10.14778/3704965.3704985

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zeng_vldb24,
        title = {{Powering In-Database Dynamic Model Slicing for Structured Data Analytics}},
        author = {Zeng, Lingze and Xing, Naili and Cai, Shaofeng and Chen, Gang and Ooi, Beng Chin and Pei, Jian and Wu, Yuncheng},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {13},
        pages = {4813--4826},
        doi = {10.14778/3704965.3704985},
        url = {https://doi.org/10.14778/3704965.3704985},
        year = {2024}
}

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