Haoxin Liu

Haoxin Liu

Ph.D. student in Computer Science at Georgia Tech focusing on time-series forecasting, graph learning, and large language models.

In-context Pre-trained Time-Series Foundation Models Adapt to Unseen Tasks

Published in CIKM 2025, 2025

Recommended citation: Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, and B. Aditya Prakash. "In-context Pre-trained Time-Series Foundation Models Adapt to Unseen Tasks." In Proceedings of CIKM 2025.

Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, and B. Aditya Prakash analyze how in-context learning enables time-series foundation models to adapt to novel forecasting tasks without gradient updates.