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Mingyue Cheng

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Book Open access Aug 2026

FedKDD/FedMAS 2026: The 2026 International Joint Workshop on Federated Learning for Multi-agent Systems and Data Mining

This workshop seeks to bring together researchers and practitioners from academia and industry to explore the convergence of federated learning and multi-agent systems, with a focus on scalability, trustworthiness, adaptive coordination, and the broader societal impact of federated multi-agent intelligence.

Hao-Zhao Wang, Zhuangdi Zhu, Zheng Xu et al. · 0 citations
#large language models Review Open access Sep 2026

A Survey on Table Mining with Large Language Models: Challenges, Advancements and Prospects

This survey conducts a comprehensive review of the literature on table mining with Large Language Models, exploring the challenges unique to this domain, such as heterogeneous table structures, contextual ambiguity, and domain-specific knowledge requirements.

Mingyue Cheng, Qingyang Mao, Qi Liu et al. · 13 citations

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