Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data

Summary: CompactST: a 300K-parameter pre-trained STP model trained on 300M spatio-temporal points across 10+ domains to enable robust few/zero-shot urban prediction in data-scarce settings. Novel mixture-of-normalizers, multi-scale spatio-temporal mixer, and dataset-oriented adaptive tuning handle domain/spatial heterogeneity and resolution mismatch, shifting dataset-specific parameters to fine-tuning for compact, efficient transfer. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13867
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,593 | 26.31%
DOI: 10.14778/3734839.3734851

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2,298	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB	9.0742746e-05
3,234	BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks	2024	VLDB	7.3355287e-05
3,411	MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data	2021	VLDB	7.1253055e-05
4,206	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	2022	VLDB	6.3595566e-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
8,013	Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network	2024	VLDB	4.6058845e-05
8,744	A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis	2024	VLDB	4.456315e-05

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