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Author

Cheng-Zu Dong

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Conference Aug 2026

Sector-Specific Fairness in AI: A Quasi-Optimization Weight Learning Framework for Critical Industries

The "one-size-fits-all" paradigm for AI fairness poorly accommodates industrial heterogeneity across healthcare, finance, education, and manufacturing. Uniform fairness enforcement may increase medical misdiagnosis by 12% and distort credit pricing by 18%. This paper proposes a Quasi-Optimization Weight Learning (QOWL)...

Xi-Yao Lu, Fan Sun, Cheng-Zu Dong et al. · 0 citations
Conference Aug 2026

A Transcendent Spatio-Temporal Multi-Agent Collaborative Blockchain (MAC-Chain) with Information-Theoretic Privacy

The integration of artificial intelligence and blockchain has become a mainstream paradigm for decentralized service deployment, yet most existing works simply stack multiple models without rigorous causal and information-theoretic justification. To address this arbitrary ensemble issue, this paper proposes a mathemati...

Jian Lei, Cheng-Zu Dong, Li-Sha Yu · 0 citations

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