Li Sze Chow

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About

Dr. Li Sze Chow is a leading researcher at the intersection of computer vision and smart retail systems, with a primary focus on developing efficient, deployable deep learning models for real-world object detection. His most impactful contribution is the creation of LSR-YOLO, a groundbreaking lightweight and fast model specifically designed for retail product detection. This work directly tackles the critical challenge of deploying high-accuracy AI on resource-constrained edge devices, enabling intelligent inventory management and automated checkout systems in smart cities. With his flagship paper already garnering 6 citations shortly after its 2025 publication, Dr. Chow’s innovations are rapidly shaping the future of automated retail. By prioritizing computational efficiency without sacrificing detection performance, his research bridges the gap between cutting-edge deep learning and practical, scalable urban applications, making him a pivotal figure in the advancement of intelligent retail environments.