Haiyan Zhang

National University of Defense Technology

Papers

Total Citations

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About

Dr. Haiyan Zhang is a leading researcher in computer vision, with a primary focus on advancing pedestrian detection technologies for critical real-world applications including intelligent surveillance, autonomous driving, and robot navigation. Her most notable contribution is the development of GLNet-YOLO, a pioneering multimodal feature fusion framework that addresses a fundamental challenge in the field: the limitations of single-modal imaging in complex environments. By integrating complementary data sources, her work significantly enhances detection accuracy under adverse conditions such as poor lighting or occlusion. With her 2025 paper already garnering 2 citations shortly after publication, Zhang’s research is gaining rapid recognition for its practical impact. Her innovative approach to multimodal fusion represents a key step forward in making autonomous systems safer and more reliable. Dr. Zhang’s work stands at the intersection of deep learning and real-time vision systems, promising to shape the next generation of intelligent perception technologies.