A Data Augmentation Approach to Distracted Driving Detection. - Jing Wang 092; ZhongCheng Wu; Fang Li; Jun Zhang 034 (Future Internet, 2021)

Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification. - Wenjing Li 005; Jing Wang 092; Tingting Ren; Fang Li; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2022)

100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification. - Jing Wang 092; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu; Zhun Zhong; Nicu Sebe (IEEE Trans. Intell. Transp. Syst., 2023)

Implementation and acceleration of driving behavior detection model based on Rockchip RV1126 + Yolov5s. - Qi Liu; Zhongcheng Wu; Jing Wang 092; Wentao Peng; Chao Li (PEAI, 2024)