Author

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

Multi-agent systems (MAS) are enabling increasingly complex, collaborative applications in autonomous driving, smart logistics, robotic coordination, and distributed sensing. Their effectiveness depends on collective intelligence emerging from multiple distributed agents, each operating with partial information and oft...

Haozhao Wang, Zhuangdi Zhu, Zheng Xu et al. · Proceedings of the 32nd ACM... · 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. · ACM Computing Surveys · 12 citations