Kanghui Ning

Kanghui Ning

Ph.D. Student in Computer Science, University of Connecticut

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Pages

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

Published in arXiv preprint, 2025

This paper proposes TS-RAG, a retrieval-augmented generation based time series forecasting framework that enhances the generalization capability and interpretability of time series foundation models.

Recommended citation: Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song. (2025). "TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster." arXiv preprint arXiv:2503.07649.
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Posts

portfolio

publications

Multi-modal Time Series Analysis: A Tutorial and Survey

Published in arXiv preprint, 2025

This paper presents a systematic and up-to-date overview of multi-modal time series datasets and methods.

Recommended citation: Jiang, Y., Ning, K., Pan, Z., Shen, X., Ni, J., Yu, W., Schneider, A., Chen, H., Nevmyvaka, Y., & Song, D. (2025). Multi-modal Time Series Analysis: A Tutorial and Survey. arXiv preprint arXiv:2503.13709.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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