Jigang Bao

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 6

Top Topics

Bayesian Framework

Gaussian Process

Top Venues

IEEE Trans. Artif. Intell.

Publications

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR (2024)
Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5 (6) (2024)
Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. CoRR (2024)
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. CoRR (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting. CoRR (2023)