Publications

\(^*\) Equal contribution. \(^\dagger\) Corresponding author.

2024

  1. NeurIPS
    DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
    Tao Dai, Beiliang Wu, Peiyuan Liu\(^\dagger\), Naiqi Li, Xue Yuerong, Shu-Tao Xia, and Zexuan Zhu
    2024
  2. ICLR
    Periodicity Decoupling Framework for Long-term Series Forecasting
    Tao Dai, Beiliang Wu, Peiyuan Liu\(^\dagger\), Naiqi Li, Jigang Bao, Yong Jiang, and Shu-Tao Xia
    International Conference on Learning Representations, 2024
  3. ARXIV
    TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
    Peiyuan Liu, Beiliang Wu, Yifan Hu Naiqi Li, Tao Dai, Jigang Bao, and Shu-Tao Xia
    2024
  4. ARXIV
    CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
    Peiyuan Liu\(^*\), Hang Guo\(^*\), Tao Dai\(^\dagger\), Naiqi Li\(^\dagger\), Jigang Bao, Xudong Ren, Yong Jiang, and Shu-Tao Xia
    arXiv preprint arXiv:2403.07300, 2024
  5. ARXIV
    Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
    Yifan Hu\(^*\), Peiyuan Liu\(^*\), Peng Zhu, Dawei Cheng\(^\dagger\), and Tao Dai
    arXiv preprint arXiv:2406.03751, 2024
  6. ARXIV
    Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting
    Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, and Shu-tao Xia
    arXiv preprint arXiv:2406.02212, 2024
  7. ICASSP
    WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
    Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, and Shu-Tao Xia
    IEEE International Conference on Acoustics, Speech and Signal Processing, 2024

2023

  1. IJCV
    DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
    Shengyu Hao\(^*\), Peiyuan Liu\(^*\), Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, and Gaoang Wang\(^\dagger\)
    International Journal of Computer Vision, 2023