Zhipeng Gao

Beijing University of Posts and Telecommunications, Guilin University of Electronic Technology

Papers

Total Citations

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About

Zhipeng Gao is a leading researcher in edge cloud computing, smart network maintenance, and advanced optical metrology. His work bridges the gap between intelligent infrastructure and precision engineering, addressing critical challenges in automated systems. Gao’s most-cited paper, “Smart Network Maintenance in an Edge Cloud Computing Environment: An Adaptive Model Compression Algorithm Based on Model Pruning and Model Clustering” (2022, 23 citations), introduces a novel approach to network maintenance by integrating wearable devices, robots, and UAVs for real-time video data collection. This work proposes an adaptive model compression technique that enhances efficiency in edge environments, enabling smarter, more autonomous maintenance operations. In his more recent study, “Hand-eye parameter estimation and line-structured light scanning calibration within a unified framework” (2024, 6 citations), Gao advances calibration methods for robotic vision systems, offering a streamlined solution for high-precision 3D scanning. His contributions are pivotal for industries relying on automated inspection and remote monitoring. With a growing citation record, Gao’s research continues to influence the evolution of intelligent network management and optical sensing technologies, making him a notable figure in applied computing and engineering.