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Jing Xu

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Open access Aug 2026

Quality over quantity: rethinking AI for OLED material design

This perspective argues that meaningful progress requires a shift toward a “quality over quantity” framework, prioritising domain-specific molecular representations, physics-informed descriptors, and interpretable models over generic, data-intensive black-box approaches.

Qi Zhu, Jing-Ling Xu, Qiao-Jun Li · 0 citations
#machine learning Preprint Aug 2026

More Data Cannot Break a Symmetry: Identifiability by Design

Unsupervised representational alignment recovers a stimulus-by-stimulus correspondence from geometry alone, but the automorphism group of the stimulus geometry bounds what any such alignment can identify, before data exist. The obvious diagnostic for this degeneracy, the cheapest non-identity relabelling, ranks two pub...

Jing Xu, Christopher Kanan · 0 citations

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