Speaker
Ziyue Li
(Technical University of Munich)
Description
Since 2023, large language models (LLMs) have begun to reshape the landscape of time-series analysis. In this talk, we present our latest research, insights, and perspectives on using LLMs to model time-series data— both as a standalone modality and in combination with other spatial or contextual information/modality. We will explore three key questions:
(1) What are spatiotemporal LLMs?
(2) How can they be applied effectively to time-series data?
(3) Why do they succeed—or fail—in practical scenarios?
| Special/ Invited session | QSR Session host by Prof. Reisi Gahrooei,Mostafa |
|---|---|
| Classification | Both methodology and application |
| Keywords | Large Language Model, Time-series Data |
Author
Ziyue Li
(Technical University of Munich)