Personal Information

Associate professor
Supervisor of Master's Candidates

Paper Publications

Taiguo Li, Yingzhi Zhang and Quanqin Li. Appearance-Based Driver 3D Gaze Estimation Using GRM and Mixed Loss Strategies[J]. IEEE Internet of Things Journal, 2024,11(23): 38410-38424. (SCI 一区，IF:8.2).
Yingzhi Zhang, Taiguo Li*, Chao Li and Xinghong Zhou. A Novel Driver Distraction Behavior Detection Method Based on Self-Supervised Learning With Masked Image Modeling[J]. IEEE Internet of Things Journal, 2024,11(4):6056-6071.(SCI 一区，IF:8.2).
李泰国*,张英志,张天策等.基于改进YOLOv5s算法的列车驾驶员手势识别[J].铁道学报,2023,45(01):75-83. （中文EI）.
李泰国*,张天策,李超等.基于面部倒立摆模型与信息熵的驾驶员疲劳检测[J].交通运输系统工程与信息,2023,23(05):24-32.（中文EI）.
Li Taiguo*, Li Chao. A Deep Learning Model Based On Multi-granularity Facial Features And LSTM Network For Driver Drowsiness Detection[J]. Journal of Applied Science and Engineering, 2023, 27(7): 2799-2811. （英文EI）.
Li Taiguo*, Zhang Tiance, Zhang Yingzhi, et al. Driver Fatigue Detection Method Based on Human Pose Information Entropy[J]. Journal of Advanced Transportation, 2022, 2022(1): 7213841. (SCI 四区，IF:2.3).
Li Taiguo*, Zhang Yingzhi, Li Quanqin, et al. AB-DLM: An Improved Deep Learning Model Based on Attention Mechanism and BiFPN for Driver Distraction Behavior Detection[J]. IEEE Access, 2022, 10: 83138-83151. (SCI 三区，IF:3.4).
李泰国*,张天策,李超,张英志,王英. 基于人体姿态空时特征的驾驶员疲劳检测[J].交通运输系统工程与信息,2022,22(05):337-344. （中文EI）.
李泰国*,周星宏,李全琴,等. 基于UMAP语音多特征融合的列车司机疲劳检测[J].铁道科学与工程学报,2024,21(10):4014-4026.（中文EI）.
Caixia Tao, Chaoting Wang, and Taiguo Li*. Detection research of insulating gloves wearing status based on improved YOLOv8s algorithm[J]. Journal of Engineering and Applied Science, 2024, 71(1): 126..
Taiguo Li*, Tiance Zhang, Quanqin Li. Train Driver Fatigue Detection Using Eye Feature Vector and Support Vector Machine[J]. International Journal of Circuits, Systems and Signal Processing, 2022, 16:1007-1017..

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