Jiahong Ning

Dalian Maritime University, Dalian Ocean University

Papers

Total Citations

H-Index

About

Jiahong Ning is a pioneering researcher at the forefront of artificial intelligence and multi-agent systems, with a focus on integrating large language models (LLMs) into heterogeneous and embodied environments. Their most notable contribution is the development of AutoHMA-LLM, a groundbreaking framework that orchestrates complex coordination among diverse intelligent agents—such as drones and ground robots—using hybrid LLMs. This work, published in 2025, has already garnered 30 citations, highlighting its immediate impact on advancing autonomous task execution. Ning further extends their vision with a seminal 2024 paper on Embodied AI through Cloud-Fog Computing, which proposes a scalable architecture for embedding intelligence into physical systems, bridging the gap toward Artificial General Intelligence (AGI). Though newer, this work has earned 7 citations and is poised to influence future research in pervasive AI. By tackling the dual challenges of multi-agent coordination and embodied intelligence, Ning is shaping the next wave of adaptive, real-world AI systems, making their research essential reading for students and engineers exploring the intersection of LLMs, robotics, and distributed computing.