\(^*\) Equal contribution. \(^\dagger\) Corresponding author.
2024
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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
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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
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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
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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
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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
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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
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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
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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