WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Naiqi Li; Tao Dai 001; Fengmao Lei; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2024)

Periodicity Decoupling Framework for Long-term Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICLR, 2024)

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (CoRR, 2024)

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. - Jiarui Yang; Tao Dai 001; Naiqi Li; Junxi Wu; Peiyuan Liu; Jinmin Li; Jigang Bao; Haigang Zhang; Shutao Xia (CoRR, 2024)

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Yifan Hu; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2024)

Node-Level Graph Regression With Deep Gaussian Process Models. - Naiqi Li; Wenjie Li 008; Yinghua Gao; Yiming Li 004; Jigang Bao; Ercan E. Kuruoglu; Yong Jiang 001; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (AAAI, 2025)

MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. - YuJun Liu; Chen-Hui Song; Peiyuan Liu; Naiqi Li; Tao Dai 001; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (WWW (Companion Volume), 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. - Yifan Hu; Peiyuan Liu; Yuante Li; Dawei Cheng; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2025)