Author

Junkai Lu

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#machine learning Preprint Sep 2026

MUSE: Dependency-Aware Adaptation of a Frozen Vision Backbone for Multivariate Time Series Forecasting

Multivariate time-series forecasting is essential to many real-world applications. Recent large vision models (LVMs) offer a promising paradigm by transferring cross-domain visual priors to time-series forecasting. However, existing LVM-based methods face two key challenges: balancing independent visual representation...

Xin-Ying Cai, Jun-Kai Lu, Yu-Han Zhu 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