publications

(* indicates equal contribution)

2026

  1. ICML-WS
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    TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models
    Kanghui Ning, Yushan Jiang, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, and Dongjin Song
    In ICML Workshop on AI Forecasting, 2026

2025

  1. ICDM
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    Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
    Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, and Dongjin Song
    In IEEE International Conference on Data Mining (ICDM), BlueSky Track, 2025
  2. NeurIPS
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    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, and Dongjin Song
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
  3. KDD
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    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, and Dongjin Song
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025