Sai Huang

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Sai Huang is a leading researcher at the forefront of wireless communications and computer vision, whose work bridges the gap between energy-efficient IoT systems and intelligent visual tracking. His pioneering research on heterogeneous IoT networks integrated with UAV swarms has fundamentally advanced the understanding of energy efficiency in next-generation wireless systems. In his highly cited 2019 work (29 citations), Huang introduced a groundbreaking framework for wireless power transfer in large-scale IoT networks, where UAV swarms serve as flying energy transmitters to power constrained IoT devices—a critical contribution for sustainable 6G networks. Simultaneously, Huang has made significant strides in visual tracking technology for medical applications, developing the Siamese Feature Pyramid Network that enhances correlation filter methods for robot-assisted surgery in 5G-health environments. His work addresses the critical challenge of balancing model complexity with tracking accuracy, achieving state-of-the-art results in convolutional neural network-based tracking. Huang’s dual expertise in energy-efficient communications and computer vision positions him as a unique voice in the convergence of IoT, UAV technology, and intelligent systems, with his research directly impacting the future of autonomous networks and smart healthcare.