Shengli Zhang — accepted AI-conference papers

2026

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems

Yihan Xia, Taotao Wang, Shengli Zhang, Zhangyuhua Weng, Bin Cao, Soung Chang Liew

AAAI 2026technical

Recent advances in LLM-based multi-agent systems have demonstrated remarkable capabilities in complex decision-making scenarios such as financial trading and software engineering. However, evaluating each individual agent’s effectiveness and online optimization of underperforming agents remain open

Cited by 0 Source ↗PDF ↗Scholar ↗

2020

Detect Insider Attacks Using CNN in Decentralized Optimization

Gangqiang Li, Sissi Xiaoxiao Wu, Shengli Zhang, Qiang Li

ICASSP 2020accepted

This paper studies the security issue of a gossip-based distributed projected gradient (DPG) algorithm, when it is applied for solving a decentralized multi-agent optimization. It is known that the gossip-based DPG algorithm is vulnerable to insider attacks because each agent locally estimates its (…

Cited by 0 Source ↗Scholar ↗