Database Paper Browser

Back to papers

MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference

Summary: MorphingDB embeds task-centric model management into PostgreSQL with tensor types and a two‑phase transfer-learning selector (offline transferability subspace, online feature-aware projection). Pre‑embedding/vector sharing and DAG batch pipelines with cost‑aware scheduling boost inference, improving throughput and accuracy/resource/time tradeoffs over AI‑DBMS and AutoML baselines. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7440
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,130 | 29.53%
DOI
10.1145/3769844

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers