SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting
Summary: SimpleTS: a universal, efficient model-selection framework for time-series forecasting that classifies each input series into a type and selects a model, using model-clustering to prune candidates. Introduces soft-labeling and weighted representation learning to boost classification accuracy; empirically faster and more accurate than prior toolkits (AutoAITS/AutoForecast) on 52 public + 3 private datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuanyuan Yao (Zhejiang University)
- 2. Dimeng Li (Alibaba)
- 3. Hailiang Jie (Zhejiang University)
- 4. Lu Chen (Zhejiang University)
- 5. Tianyi Li (Aalborg University)
- 6. Jie Chen (Alibaba)
- 7. Jiaqi Wang (Zhejiang University)
- 8. Feifei Li (Alibaba)
- 9. Yunjun Gao (Zhejiang University)
BibTeX Citation
@article{yao_vldb23,
title = {{SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting}},
author = {Yao, Yuanyuan and Li, Dimeng and Jie, Hailiang and Chen, Lu and Li, Tianyi and Chen, Jie and Wang, Jiaqi and Li, Feifei and Gao, Yunjun},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3741--3753},
doi = {10.14778/3611540.3611561},
url = {https://doi.org/10.14778/3611540.3611561},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,369 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB | 7.4706661e-05 |
| 8,635 | Camel: Efficient Compression of Floating-Point Time Series | 2024 | SIGMOD | 5.3959098e-05 |
| 8,727 | Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification | 2025 | VLDB | 5.3766157e-05 |
| 11,266 | DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series | 2024 | VLDB | 5.093636e-05 |
| 11,314 | A Demonstration of TENDS: Time Series Management System based on Model Selection | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 4 | 3,369 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB |
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| 10 | 4,141 | AutoAI-TS: AutoAI for Time Series Forecasting | 2021 | SIGMOD |