Author

Wang-Xuan Fan

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#artificial intelligence Preprint Sep 2026

From Preference to Reciprocity: Decentralized Matching with Empirically Grounded LLM-agent Based Modeling

Bipartite matching is a fundamental problem in game theory and market design. Classical approaches such as Gale--Shapley assume complete preferences and centralized computation, whereas many real-world matching processes are decentralized, asynchronous, and shaped by sequential interaction under limited information. We...

Wang-Xuan Fan, Xiao-Yu Nie, Zhou-Tian Shi et al. · 0 citations

#machine learning Preprint Sep 2026

Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features

FUSHAP is proposed, a method that leverages partially-observed auxiliary sites to reduce the variance of a preliminary single-site Shapley estimate without imputation and reduces MSE on multi-site air quality and multi-center clinical data.

Siqi Li, Wang-Xuan Fan, Yi-Ming Li et al. · 0 citations