Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning. - Yunxiao Guo; Xinjia Xie; Runhao Zhao; Chenglan Zhu; Jiangting Yin; Han Long (ICONIP (1), 2022)

Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis. - Runhao Zhao; Jiuyang Tang; Weixin Zeng; Ziyang Chen; Xiang Zhao 002 (CIKM, 2024)

Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs. - Runhao Zhao; Weixin Zeng; Jiuyang Tang; Yawen Li; Guanhua Ye; Junping Du; Xiang Zhao 002 (ICDE, 2025)

Towards human-like questioning: Knowledge base question generation with bias-corrected reinforcement learning from human feedback. - Runhao Zhao; Jiuyang Tang; Weixin Zeng; Yunxiao Guo; Xiang Zhao 002 (Inf. Process. Manag., 2025)

Towards Temporal Knowledge Graph Alignment in the Wild. - Runhao Zhao; Weixin Zeng; Wentao Zhang; Xiang Zhao 002; Jiuyang Tang; Lei Chen (CoRR, 2025)