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Xin-Lei Yi

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Preprint Sep 2026

Predictive Rolling-Horizon Optimization for Commitment-Aware Model-Parallel Inference under Spatio-Temporal Edge Dynamics

Model-parallel inference over dynamic edge systems requires scheduling decisions that account for not only instantaneous resources but also future resource contention and reliable service commitments. Existing edge-inference designs, however, predominantly optimize performance metrics based on current or short-term sys...

Minghui Liwang, Chen-Xi Xu, Wei Gong et al. · 0 citations
#machine learning Preprint Sep 2026

Convergence of Practical Muon

Muon is emerging as a promising alternative to AdamW for large-scale neural network training, yet theoretical understanding of its practical implementation remains incomplete, as existing analyses often simplify or omit two key components: (i) practical Newton--Schulz iterations with empirically tuned polynomial coeffi...

Hao-Nan Wang, Yu Wu, Minghui Liwang et al. · 0 citations
Preprint Aug 2026

Flying over The Uncertain Nature (FORTUNE): Intelligent and Humanistic 3D Path Planning for Low-Altitude Collaboration

This paper studies 3D multi-UAV path planning and task assignment under uncertain ground PoI demands, and proposes FORTUNE, a hierarchical offline-online framework that consistently outperforms state-of-the-art methods in effectiveness, scalability, and practical applicability.

Minghui Liwang, Wen-Han Jia, Xin-Lei Yi et al. · 0 citations

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