| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Time Series Forecasting | Beijing | Delta-Cov-3.08 | 42 | |
| Destination Prediction | Beijing | Top-5 Accuracy80.4 | 28 | |
| Tabular Data Synthesis | Beijing | C2ST0.9972 | 26 | |
| Tabular Data Generation | Beijing | Beta Recall64.21 | 25 | |
| Time Series Uncertainty Quantification | Beijing (test) | Delta-Cov-8.05 | 21 | |
| Tabular Data Generation | Beijing | DCR-0020.0001 | 20 | |
| Marginal Distribution Alignment | Beijing | Error Rate1.3 | 19 | |
| Tabular Data Synthesis | Beijing | Pairwise Correlation Alignment Error2.71 | 19 | |
| Trajectory Generation | Beijing | Global Distance0.0024 | 18 | |
| Air quality forecasting | Beijing 3-day forecast | MAE39.16 | 17 | |
| Air quality forecasting | Beijing 2-day forecast | MAE35.42 | 17 | |
| Air quality forecasting | Beijing 1-day forecast | MAE29.47 | 17 | |
| Privacy Preservation | Beijing (test) | DCR Score100 | 16 | |
| Tabular Data Generation | Beijing | Shape Score31.83 | 16 | |
| Urban Perception | Beijing (BJ) | Hit@534.17 | 16 | |
| Image Retrieval | Beijing (BJ) | Hit@562.57 | 16 | |
| Geolocation Ranking | Beijing (BJ) | Hit@571.92 | 16 | |
| Trajectory generation | Beijing (test) | DTW3.9766 | 15 | |
| Multi-step Flow Prediction | Beijing | MAE (H1)0.8706 | 14 | |
| Origin-Destination Demand Prediction | Beijing (test) | MAE0.8692 | 14 | |
| Tabular Data Generation | Beijing original (test) | CDE98.98 | 14 | |
| Tabular Data Alignment | Beijing dataset | CDE98.98 | 14 | |
| Path Ranking | Beijing | Kendall's τ0.6814 | 13 | |
| Similar Trajectory Retrieval | Beijing (test) | HR@196.11 | 13 | |
| Road Label Prediction | Beijing (test) | Macro F1 Score93.03 | 13 |