Liu, Peiyuan

7 publications

AAAI 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai

AAAI 2025 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, Shu-Tao Xia

IJCAI 2025 Efficient Differentiable Approximation of Generalized Low-Rank Regularization Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia

ICML 2025 TimeBridge: Non-Stationarity Matters for Long-Term Time Series Forecasting Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia

ICML 2025 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, Shirui Pan

NeurIPS 2024 DDN: Dual-Domain Dynamic Normalization for Non-Stationary Time Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu

ICLR 2024 Periodicity Decoupling Framework for Long-Term Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia