In recent years, foundation models (FMs) have significantly enhanced various tasks and transformed model design in time series analysis. In this manuscript, We propose a comprehensive half-day tutorial at AAAI'25, tailored for professionals, researchers, and practitioners interested in utilizing FMs for time series analysis. This tutorial offers insights into FM theory, implementation, and practical applications, including principles, pre-processing techniques, and modeling strategies. Attendees will also learn best practices for integrating FMs into workflows and exploring applications in diverse fields, such as finance, healthcare, and transportation. Sponsored by Squirrel AI, the tutorial promises enhanced understanding, practical skills acquisition, and networking opportunities, bridging theory with practice.
| Time | Speaker | Title |
|---|---|---|
| 10 min | Yuxuan Liang | Opening and Introduction |
| 30 min | Yuxuan Liang | Preliminary of Time Series Analysis and Foundation Models |
| 45 min | Yuxuan Liang | Time Series Data: Standard Time Seris, Spatial Time Series, Other Types |
| 15 min | - | Break |
| 25 min | Dongjin Song | Time Series Foundation Model Architectures |
| 25 min | Ming Jin | Time Series Foundation Model Pipeline |
| 25 min | Ming Jin | Multimodal Time Series Foundation Model |
| 30 min | Ming Jin | Outlook and Future Work |
