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
- 2. Peng Chen
- 3. Chenjuan Guo
- 4. Kai Zhao
- 5. Qingsong Wen
- 6. Bin Yang
- 7. Christian S. Jensen
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,298 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB | 9.0742746e-05 |
| 5,438 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB | 5.5033018e-05 |
| 7,989 | RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems | 2025 | VLDB | 4.6124681e-05 |
| 10,536 | Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection | 2025 | VLDB | 4.1945683e-05 |
| 10,601 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 4.1945683e-05 |
| 11,041 | QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models | 2024 | VLDB | 4.1945683e-05 |
| 13,113 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 13,115 | 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 |
|---|---|---|---|---|
| 2,388 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 8.9132902e-05 |
| 4,113 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 6.4420064e-05 |
| 4,264 | Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes | 2017 | VLDB | 6.3101889e-05 |
| 4,888 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 5.8531064e-05 |
| 5,026 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB | 5.7528419e-05 |
| 5,438 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB | 5.5033018e-05 |
| 6,589 | AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting | 2023 | SIGMOD | 5.001285e-05 |
| 11,200 | LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation | 2023 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next