Guanying Huo

Zhengzhou University of Aeronautics, Hohai University

Papers

Total Citations

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About

Dr. Guanying Huo is a researcher whose work bridges advanced manufacturing and intelligent marine systems. His primary research areas include machining dynamics, uncertainty quantification, and computer vision for underwater environments. Dr. Huo’s major contribution lies in developing surrogate model-based methods for predicting milling stability lobes, which directly enhance precision and safety in high-speed machining by accounting for dynamic uncertainties—a critical advancement for manufacturing industries. This work has garnered attention, with his 2024 paper on the topic accumulating 6 citations. In a notable pivot to marine technology, Dr. Huo has also pioneered object detection in shallow seas, addressing challenges like motion blur and target clustering. His 2025 paper introduces an improved YOLOv8 architecture specifically designed for detecting shallow sea creatures, achieving 3 citations and demonstrating the versatility of his deep learning expertise. By integrating uncertainty quantification with state-of-the-art neural networks, Dr. Huo’s research not only advances manufacturing process reliability but also supports marine resource utilization and environmental monitoring. His interdisciplinary approach—from stability lobe prediction to underwater vision—marks him as a rising figure in applied computational engineering, with work that holds promise for both industrial automation and ecological conservation.