Publications

(* indicates equal contribution)

• Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
  Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
  ICDM, 2025
  Paper

• 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

• 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

• S²IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
  Zijie Pan,Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, & Dongjin Song
  ICML, 2024
  Paper

• Empowering Time Series Analysis with Large Language Models: A Survey
  Yushan Jiang^*, Zijie Pan^*, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, & Dongjin Song
  ICML, 2024
  Paper