Kanghui Ning

Kanghui Ning

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

Kanghui Ning

I’m a first-year Ph.D. student in the School of Computing at the University of Connecticut (UConn), under the supervision of Professor Dongjin Song.

My primary research goal is to build reliable and interpretable AI systems. Currently, I focus on AI for time series analysis, with particular interests in:

  • Advancing time series forecasting with time series foundation models
  • Multi-modal time series analysis
  • Leveraging Large Language Models (LLMs) for time series forecasting and understanding
  • Graph-based learning for temporal biomedical and healthcare data

If you share similar research interests or would like to collaborate, feel free to reach out. I’m always open to meaningful discussions and potential research opportunities.

Previously, I obtained my bachelor’s degree from UESTC and my master’s degree from HUST.

News

  • 05/2025: I was honored to receive the Predoctoral Honorable Mention from the School of Computing at UConn!
  • 05/2025: Our tutorial Multi-modal Time Series Analysis: A Tutorial and Survey was accepted by KDD 2025!
  • 08/2024: I joined UConn DSIS Lab and received the UConn CSE Graduate Fellowship.
  • 05/2024: I started my summer research internship at Ant Group Ant Group in Hangzhou.
  • 08/2023: I became a part of Project Voyager at ByteDance ByteDance in Beijing, focusing research on AI4Bioinformatics.
  • 07/2022: I started my research internship at AI4Science Group of ByteDance ByteDance in Beijing.

Publications

(* indicates equal contribution)

  • TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
    Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song
    arXiv preprint, 2025
    Paper GitHub coming soon

  • Multi-modal Time Series Analysis: A Tutorial and Survey
    Yushan Jiang.*, Kanghui Ning.*, Zijie Pan.*, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, & Dongjin Song
    KDD, 2025
    Paper GitHub

Contact

Feel free to reach out to me at kanghui.ning@uconn.edu or connect with me on LinkedIn.

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