Weakly Guided Adaptation for Robust Time Series Forecasting
Summary: DARF uses weak labels to split source/target domains and adversarial domain adaptation to suppress bias and treat abrupt-but-normal shifts (e.g., holidays) as non-outliers. CORF, an encoder–decoder, models cross-series dependencies for robust multivariate forecasting, outperforming decompositional baselines. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Yunyao Cheng (Aalborg University)
- 2. Peng Chen (East China Normal University)
- 3. Chenjuan Guo (East China Normal University)
- 4. Kai Zhao (Aalborg University)
- 5. Qingsong Wen (Alibaba)
- 6. Bin Yang (East China Normal University)
- 7. Christian S. Jensen (Aalborg University)
BibTeX Citation
@article{cheng_vldb24,
title = {{Weakly Guided Adaptation for Robust Time Series Forecasting}},
author = {Cheng, Yunyao and Chen, Peng and Guo, Chenjuan and Zhao, Kai and Wen, Qingsong and Yang, Bin and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {4},
pages = {766--779},
doi = {10.14778/3636218.3636231},
url = {https://doi.org/10.14778/3636218.3636231},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 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 |
| 6,078 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB | 5.9850223e-05 |
| 7,825 | RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems | 2025 | VLDB | 5.5367884e-05 |
| 10,808 | Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection | 2025 | VLDB | 5.093636e-05 |
| 10,861 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 5.093636e-05 |
| 11,251 | QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models | 2024 | VLDB | 5.093636e-05 |
| 13,318 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 13,320 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,694 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 7.1937882e-05 |
| 3,861 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 7.0666117e-05 |
| 4,684 | Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes | 2017 | VLDB | 6.5630679e-05 |
| 5,129 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB | 6.3548172e-05 |
| 5,158 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 6.3404905e-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 |
| 11,402 | LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation | 2023 | SIGMOD | 5.093636e-05 |
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