Tinghuai Ma

Nanjing University of Information Science and Technology

Papers

Total Citations

H-Index

About

Tinghuai Ma is a leading researcher in multiagent systems, artificial intelligence, and natural language processing, with a focus on enhancing collaboration and communication in complex, heterogeneous environments. His major contributions center on developing novel frameworks that integrate graph theory, reinforcement learning, and evolutionary algorithms to address challenges in multiagent cooperation. Notably, his 2024 paper "Enhancing Collaboration in Heterogeneous Multiagent Systems Through Communication Complementary Graph" (18 citations) introduces a pioneering approach to overcoming limited observations in distributed decision-making and robotic collaboration, offering a new paradigm for agent interaction. Ma also advanced conversational AI with his 2020 work on a hybrid Chinese conversation model combining retrieval and generation techniques (6 citations), and his 2025 study on graph-based multi-agent reinforcement learning with evolutionary populations (2 citations) further pushes boundaries in scalable cooperation. With a growing citation impact, Ma’s research is instrumental for students and researchers exploring multiagent systems, providing foundational insights into communication optimization and adaptive learning in dynamic, real-world scenarios.