LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Summary: LightCTS offers a lightweight CTS forecasting framework for resource-limited devices, prioritizing efficiency over deep models. Using plain stacking of temporal and spatial operators (L-TCN, GL-Former) with last-shot compression, it achieves near-SOTA accuracy at far lower compute and storage. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhichen Lai (Aalborg University)
- 2. Dalin Zhang (Aalborg University)
- 3. Huan Li (Zhejiang University)
- 4. Christian S. Jensen (Aalborg University)
- 5. Hua Lu (Roskilde University)
- 6. Yan Zhao (Aalborg University)
BibTeX Citation
@inproceedings{lai_sigmod23,
title = {{LightCTS: A Lightweight Framework for Correlated Time Series Forecasting}},
author = {Lai, Zhichen and Zhang, Dalin and Li, Huan and Jensen, Christian S. and Lu, Hua and Zhao, Yan},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589270},
url = {https://dl.acm.org/doi/10.1145/3589270},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,390 | AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction | 2026 | SIGMOD | 5.093636e-05 |
| 10,619 | DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data | 2026 | VLDB | 5.093636e-05 |
| 10,861 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 461 | Query-based Workload Forecasting for Self-Driving Database Management Systems | 2018 | SIGMOD | 0.00018068441 |
| 668 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB | 0.00015166017 |
| 2,441 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD | 8.5779023e-05 |
| 3,345 | Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter | 2020 | SIGMOD | 7.4975085e-05 |
| 3,694 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 7.1937882e-05 |
| 4,424 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.7104881e-05 |
| 5,129 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB | 6.3548172e-05 |
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