I am 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 focus is on machine learning and deep learning, with a current specialization in time series analysis. My additional research interests include:

• Multi-modal time series analysis
• Large Language Models (LLMs) for time series analysis
• Graph representation learning and its application in healthcare and biomedical data

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

News

• 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 Project Voyager at ByteDance, focusing research on AI4Bioinformatics.
• 07/2022: I started my research internship at AI4Science Group of Bytedance in Beijing.

Publications

(* indicates equal contribution)

• 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
  arXiv preprint, 2025
  Paper GitHub

Contact

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