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Jigang Bao
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2020 – today
- 2024
- [j1]Naiqi Li
, Wenjie Li
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5(6): 3257-3269 (2024) - [c2]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: 5960-5964 - [c1]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 - [i4]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 abs/2403.07300 (2024) - [i3]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 abs/2406.02212 (2024) - [i2]Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia:
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. CoRR abs/2410.04442 (2024) - 2023
- [i1]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 abs/2309.11319 (2023)
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