Author

Yang Shu

2 papers indexed here

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#machine learning Preprint Sep 2026

Aurora-X: Built for Extreme Time Series Forecasting

A novel pattern-guided mixture-of-experts that expands model capacity through sparse activation and uses shallow patch similarities to constrain deep-layer routing, guiding expert specialization across heterogeneous time series and an implicit quantile network head that predicts arbitrary quantiles to characterize pred...

Xingjian Wu, Chen-Juan Guo, Xiangfei Qiu et al. · 0 citations

#artificial intelligence Feb 2026

ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies

ST-EVO is proposed, which supports dialogue-wise communication scheduling with a compact yet powerful flow-matching based Scheduler to make precise Spatio-Temporal scheduling, and can also perceive the uncertainty of MAS, and possesses self-feedback ability to learn from accumulated experience.

Xingjian Wu, Xvyuan Liu, Junkai Lu et al. · arXiv.org · 2 citations