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20232026
most citedFoundation Models for Time Series Analysis: A Tutorial and Survey

221 citations · 247 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026★ 1 cited

FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts

Yiji Zhao, Zihao Zhong, Ao Wang +5

Spatial-Temporal Graph (STG) forecasting on large-scale networks has garnered significant attention. However, existing models predominantly focus on short-horizon predictions and s…

cs.LG2025★ 1 cited

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Yunfeng Ge, Jiawei Li, Yiji Zhao +6

Text-to-Time Series generation holds significant potential to address challenges such as data sparsity, imbalance, and limited availability of multimodal time series datasets acros…

cs.LG2024★ 2 cited

Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs

Xingchen Zou, Jiani Huang, Xixuan Hao +6

Regional socioeconomic indicators are critical across various domains, yet their acquisition can be costly. Inferring global socioeconomic indicators from a limited number of regio…

cs.LG2024★ 20 cited

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Yiyuan Yang, Ming Jin, Haomin Wen +9

Diffusion models have been widely used in time series and spatio-temporal data, enhancing generative, inferential, and downstream capabilities. These models are applied across dive…

cs.LG2024★ 221 cited

Foundation Models for Time Series Analysis: A Tutorial and Survey

Yuxuan Liang, Haomin Wen, Yuqi Nie +5

Time series analysis stands as a focal point within the data mining community, serving as a cornerstone for extracting valuable insights crucial to a myriad of real-world applicati…

cs.LG2024

Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era

Wei Chen, Yuanshao Zhu, Yanchuan Chang +11

Trajectory computing is a pivotal domain encompassing trajectory data management and mining, garnering widespread attention due to its crucial role in various practical application…

cs.LG2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

Xingchen Zou, Yibo Yan, Xixuan Hao +8

As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for sustainable development by harnessing the power of cross-domain data fusion from diverse sources…