DBScholar

Back to papers

A Unified Transferable Model for ML-Enhanced DBMS

Summary: MTMLF: unified transferable ML for DBMS, using multi-task training to capture cross-task signals and pretrain–fine-tune to distill meta-knowledge across databases, eliminating expensive per-DB retraining and large new-data needs. Demonstrated for query optimization. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h6e4acac5a725167a
Venue
CIDR
Year
2022
Pagerank
5.7921918e-05
Overall Rank
6,408 | 56.94%
DOI
-
PDF
Download (CC BY 3.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{A Unified Transferable Model for ML-Enhanced DBMS}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wu, Ziniu and Yu, Pei and Yang, Peilun and Zhu, Rong and Han, Yuxing and Li, Yaliang and Lian, Defu and Zeng, Kai and Zhou, Jingren},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
981 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012713454
2,844 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.9446987e-05
4,299 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6766173e-05
5,316 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD 6.1827415e-05
5,482 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 6.1123461e-05
5,630 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 6.056758e-05
5,715 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0178585e-05
7,386 Towards Foundation Database Models 2025 CIDR 5.5360368e-05
7,869 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.4342182e-05
9,010 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2371313e-05
9,134 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2223611e-05
10,222 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.0560976e-05
10,933 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 4.9769913e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061067652
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046363107
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035876108
144 Neo: A Learned Query Optimizer 2019 VLDB 0.00029090793
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021276452
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021166957
377 TURL: Table Understanding through Representation Learning 2021 VLDB 0.00019564011
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019050182
422 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018488849
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018310278
462 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017836105
510 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017059914
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016408613
869 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013363241
981 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012713454
1,188 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011598149
1,735 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7566604e-05
2,002 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.2076835e-05
2,278 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.7057608e-05
2,833 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9539771e-05
2,983 WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases 2016 VLDB 7.7831414e-05
5,200 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.2303304e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 11,797 Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning 2023 VLDB
2 314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD
3 2,829 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD
4 9,711 Database Gyms 2023 CIDR
5 6,732 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD
6 10,158 Structure-Aware Machine Learning over Multi-Relational Databases 2021 SIGMOD
7 4,536 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR
8 7,386 Towards Foundation Database Models 2025 CIDR
9 4,743 Machine Learning for Databases 2021 VLDB
10 3,685 Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML 2020 CIDR