TSGBench: Time Series Generation Benchmark
Summary: TSGBench: first unified benchmark for synthetic time-series generation, with curated real-world datasets and standardized preprocessing plus a broad evaluation suite (vanilla and distance-based measures). Adds a domain-adaptation generalization test and statistical rankings revealing method variability across datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yihao Ang
- 2. Qiang Huang
- 3. Yifan Bao
- 4. Anthony K. H. Tung
- 5. Zhiyong Huang
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,998 | TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking | 2024 | VLDB | 4.4117211e-05 |
| 10,128 | WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models | 2026 | SIGMOD | 4.1945683e-05 |
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,634 | Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series | 2021 | VLDB | 0.00011058945 |
| 2,381 | TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection | 2022 | VLDB | 8.9327638e-05 |
| 3,943 | Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection | 2022 | VLDB | 6.6099833e-05 |
| 5,026 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB | 5.7528419e-05 |
| 5,468 | Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles | 2022 | VLDB | 5.4902013e-05 |
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