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
No non-self incoming citations found for this paper in this database.
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 |
|---|---|---|---|---|
| 3,445 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB | 7.2754502e-05 |
| 6,220 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB | 5.8286278e-05 |
| 7,257 | RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems | 2025 | VLDB | 5.5579707e-05 |
| 11,285 | Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection | 2025 | VLDB | 4.9605343e-05 |
| 11,328 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 4.9605343e-05 |
| 11,637 | QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models | 2024 | VLDB | 4.9605343e-05 |
| 13,686 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 13,688 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB | - |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 3,507 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 7.2282096e-05 |
| 3,892 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 6.924868e-05 |
| 4,807 | Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes | 2017 | VLDB | 6.3915685e-05 |
| 5,114 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB | 6.2563168e-05 |
| 5,290 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 6.1788815e-05 |
| 6,220 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB | 5.8286278e-05 |
| 6,549 | AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting | 2023 | SIGMOD | 5.7321086e-05 |
| 11,769 | LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation | 2023 | SIGMOD | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,992 | Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles | 2022 | VLDB |
| 2 | 4,552 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB |
| 3 | 13,819 | Automated energy consumption forecasting with EnForce | 2021 | VLDB |
| 4 | 5,114 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB |
| 5 | 6,549 | AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting | 2023 | SIGMOD |
| 6 | 3,892 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD |
| 7 | 3,445 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB |
| 8 | 13,688 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB |
| 9 | 6,220 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB |
| 10 | 13,686 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB |