Publications

∗ Equal contribution. † Corresponding author.

2025

  1. AAAI
    CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
    Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, and Shu-Tao Xia
    arXiv preprint arXiv:2403.07300, 2025
    arXiv Code NPM
  2. AAAI
    Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
    Yifan Hu∗, Peiyuan Liu∗, Peng Zhu, Dawei Cheng, and Tao Dai
    arXiv preprint arXiv:2406.03751, 2025
    arXiv Code NPM
  3. ARXIV
    TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
    Yifan Hu∗, Guibin Zhang∗, Peiyuan Liu∗, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, and Shirui Pan
    arXiv preprint arXiv:2501.13041, 2025
    arXiv Code NPM
  4. ARXIV
    FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
    Yifan Hu∗, Peiyuan Liu∗, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, and Shu-Tao Xia
    arXiv preprint arXiv:2502.06707, 2025
    arXiv Code NPM
  5. ARXIV
    FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
    Yifan Hu∗, Yuante Li∗, Peiyuan Liu∗, Yuxia Zhu, Naiqi Li, Tao Dai, Shu-tao Xia, Dawei Cheng, and Changjun Jiang
    arXiv preprint arXiv:2502.18834, 2025
    arXiv Code NPM

2024

  1. NeurIPS
    DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
    Tao Dai, Beiliang Wu, Peiyuan Liu†, Naiqi Li, Xue Yuerong, Shu-Tao Xia, and Zexuan Zhu
    2024
    Code NPM
  2. ICLR
    Periodicity Decoupling Framework for Long-term Series Forecasting
    Tao Dai, Beiliang Wu, Peiyuan Liu†, Naiqi Li, Jigang Bao, Yong Jiang, and Shu-Tao Xia
    International Conference on Learning Representations, 2024
    Code NPM
  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
    arXiv Code NPM
  4. 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
    arXiv
  5. 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
    arXiv Code NPM

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†
    International Journal of Computer Vision, 2023
    arXiv Code NPM