Author

Qi-Ming Guo

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#machine learning Preprint Sep 2026

When Compliance Data Masquerades as Evaluation: Measurement Validity for Deployed AI Systems

We argue that a recurring failure in the evaluation of deployed AI systems occurs when data collected for operational monitoring or regulatory compliance are interpreted as if they were designed for comparative evaluation. Automated driving provides a concrete example of this problem. U.S. disengagement and crash-repor...

Hung-Yu Lin, Xing-Ran Huang, Qi-Ming Guo et al. · 0 citations

#machine learning Preprint Aug 2026

Unlearning on Spatio-Temporal Graphs through Subgraph Virtual Edge Reconstruction

CallosumNet is a spatio-temporal graph unlearning framework biologically inspired by the corpus callosum structure that reconstructs subgraphs using biologically-inspired virtual edges and restores interlinked spatio-temporal dependencies among subgraphs via a lightweight meta-graph integration layer.

Qi-Ming Guo, Wenbo Sun, Chen Pan et al. · 0 citations

#machine learning Preprint Aug 2026

Spatial Entropy based Partitioning for Spatiotemporal Graph Unlearning

IsleNet is proposed, which uses spatial-entropy-guided partitioning to create balanced, locally coherent subgraphs and reconnects them with lightweight virtual edges and ensures exact removal with low cost of ST-graph unlearning.

Qi-Ming Guo, Wenbo Sun, Ye Wang et al. · 0 citations