I’m a second-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:

• Time series reasoning system
• 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

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

• 09/2025: Our paper TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster was accepted by NeurIPS 2025!
• 08/2025: I was honored to have been selected as a Fellow in the Entrepreneurship Fellowship Program at UConn, looking forward to the one-year journey!
• 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 in Hangzhou.
• 08/2023: I became a part of Corporate Strategy - Project Voyager at ByteDance in Beijing, focusing research on AI4Bioinformatics.
• 07/2022: I started my research internship at Applied Machine Learning - AI4Science Group of 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
  NeurIPS, 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.