Author

Xiaoning Qian

2 papers indexed here

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Open access Aug 2026

Data-augmented few-shot neural stencil emulation for computer-model system identification

This work proposes a more sample-efficient data-augmentation strategy for generating NPDE training data from a computer model—specifically, one using an explicit, structured-grid finite-difference numerical solver—by space-filling sampling of local ‘stencil’ states.

Sanket R. Jantre, Deepak Akhare, Zhiyuan Wang et al. · Machine Learning: Science an... · 0 citations

Jul 2026

When Do Multi-Agent Systems Help? An Information Bottleneck Perspective

This study shows that multi-agent design is fundamentally an information-bottleneck optimization problem, and explains when bounded inter-agent communication helps or hurts, and observes that MAS consistently helps when relays are near-sufficient, especially for weaker models.

Wendi Yu, Lianhao Zhou, Xiangjue Dong et al. · arXiv.org · 0 citations