A GPU-free real-time object detection method for apron surveillance video based on quantized MobileNet-SSD. - Zonglei Lyu; Dan Zhang; Jia Luo (IET Image Process., 2022)

A Self-Learning Mechanism-Based Approach to Helicopter Entry and Departure Recognition. - Zonglei Lyu; Xuepeng Chang; Wei An; Tong Yu (Sensors, 2022)

Apron surveillance video coding based on compositing virtual reference frame with object library. - Zonglei Lyu; Bo Zhang (IET Image Process., 2023)

A novel temporal moment retrieval model for apron surveillance video. - Zonglei Lyu; Yilin Zhang (Comput. Electr. Eng., 2023)

HDR-YOLO: Adaptive Object Detection in Haze, Dark, and Rain Scenes Based on YOLO. - Zonglei Lyu; Wei An (Int. J. Pattern Recognit. Artif. Intell., 2024)

A survey of model compression strategies for object detection. - Zonglei Lyu; Tong Yu; Fuxi Pan; Yilin Zhang; Jia Luo; Dan Zhang; Yiren Chen; Bo Zhang; Guangyao Li (Multim. Tools Appl., 2024)

YOLO-ENAS: a real-time accurate object detection method for apron video surveillance. - Zonglei Lyu; Junrui Fan; Tong Yu (J. Electronic Imaging, 2025)