Papers
2
Total Citations
17
H-Index
2
About
Lianhao Yin is a rising researcher whose work spans the frontiers of autonomous marine robotics and AI-driven surgical assistance. His key research areas include deep reinforcement learning (DRL) for control systems and graph-based neural networks for surgical workflow prediction. In his highly cited 2023 paper, Yin pioneered a DRL-based tracking controller for autonomous surface vessels (ASVs) in natural waters, directly addressing the challenge of complex, dynamic marine environments—a contribution that has already garnered 15 citations and promises safer, more reliable maritime autonomy. More recently, Yin has ventured into the operating room with his 2025 work on the Hypergraph-Transformer (HGT), a novel predictive model that anticipates interaction events during laparoscopic and robotic surgery. By combining hypergraph structures with transformer architectures, his model offers unprecedented understanding of surgical workflow, enabling real-time intraoperative assistance and decision-making. This dual-domain expertise—from waves to wounds—demonstrates Yin’s versatility and impact. With his innovative fusion of reinforcement learning and graph-based AI, Lianhao Yin is shaping the future of both autonomous navigation and minimally invasive surgical technology.
Research Focus
Key Achievements
Top Papers
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