SMNS event
Time Series Foundation Models: Representation Learning, Retrieval and Reasoning
Time series represents one of the ultimate challenging data modalities despite numerous advancements in the foundation model paradigm. In this talk, I will discuss the challenges of building time series foundation models through the lens of multi-channel encoders, multimodal foundation models, and reasoning over time series and contextual information. The talk will also introduce new benchmarks developed to evaluate these new frontiers in time series foundation models.
Event contact
Yixuan He
Event date and time
Starting at 3:00 pm on Tuesday, March 17, 2026
Ending at 4:00 pm on Tuesday, March 17, 2026
Event location
CLCC L1-04 and Virtual
Event type
AI Research Seminar
Event speaker (if relevant)
Rex Ying
Event flier (if included)
AI Seminar Rex Ying 20260317.pdf
(133.95 KB)