Fully Automated Correlated Time Series Forecasting in Minutes

Summary: A fully automated framework customizes forecasting search spaces via iterative, data-driven pruning, then uses zero-shot model selection and rapid parameter adaptation. It delivers state-of-the-art correlated time-series accuracy with search and training completed in minutes. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13999
Venue: VLDB
Year: 2025
Pagerank: -
Overall Rank: 13,318 | 8.63%
DOI: 10.14778/3705829.3705835

Incoming Non-self Citations Over Time

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

Authors

1. Xinle Wu (Aalborg University)
2. Xingjian Wu (East China Normal University)
3. Dalin Zhang (Aalborg University)
4. Miao Zhang (Harbin Engineering University)
5. Chenjuan Guo (East China Normal University)
6. Bin Yang (East China Normal University)
7. Christian S. Jensen (Aalborg University)

BibTeX Citation

@article{wu_vldb25,
        title = {{Fully Automated Correlated Time Series Forecasting in Minutes}},
        author = {Wu, Xinle and Wu, Xingjian and Zhang, Dalin and Zhang, Miao and Guo, Chenjuan and Yang, Bin and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {2},
        pages = {144--157},
        doi = {10.14778/3705829.3705835},
        url = {https://doi.org/10.14778/3705829.3705835},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,861	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	5.093636e-05
13,320	A Memory Guided Transformer for Time Series Forecasting	2025	VLDB	-

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
3,369	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB	7.4706661e-05
3,694	Anytime Stochastic Routing with Hybrid Learning	2020	VLDB	7.1937882e-05
4,851	Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles	2022	VLDB	6.4803317e-05
5,129	AutoCTS: Automated Correlated Time Series Forecasting	2022	VLDB	6.3548172e-05
6,078	Multiple Time Series Forecasting with Dynamic Graph Modeling	2024	VLDB	5.9850223e-05
6,443	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD	5.8775356e-05
10,861	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	5.093636e-05
10,883	TEAM: Topological Evolution-aware Framework for Traffic Forecasting	2025	VLDB	5.093636e-05
11,251	QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models	2024	VLDB	5.093636e-05
11,350	Weakly Guided Adaptation for Robust Time Series Forecasting	2024	VLDB	5.093636e-05
11,402	LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation	2023	SIGMOD	5.093636e-05
13,320	A Memory Guided Transformer for Time Series Forecasting	2025	VLDB	-

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#	Overall Rank	Paper	Year	Venue
1	5,986	AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	2024	VLDB
2	11,350	Weakly Guided Adaptation for Robust Time Series Forecasting	2024	VLDB
3	5,158	Forecasting Big Time Series: Old and New	2018	VLDB
4	4,424	Classical and Contemporary Approaches to Big Time Series Forecasting	2019	SIGMOD
5	3,369	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB
6	13,320	A Memory Guided Transformer for Time Series Forecasting	2025	VLDB
7	6,078	Multiple Time Series Forecasting with Dynamic Graph Modeling	2024	VLDB
8	5,129	AutoCTS: Automated Correlated Time Series Forecasting	2022	VLDB
9	4,141	AutoAI-TS: AutoAI for Time Series Forecasting	2021	SIGMOD
10	6,443	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD