主持项目

[1]国家自然科学基金面上项目1项，主持。

[2]国家自然科学基金青年基金1项，主持。

[3]中国科协青年人才托举项目1项，主持。

[4]重庆市面上项目1项，主持。

[5]中央高校基本科研业务费项目1项，主持。

[6]广东省自然科学基金1项，主持。

[7]国家重点实验室开放基金1项，主持。

[8]深圳市面上项目1项，主持。

[9]深圳市稳定支持面上项目（A类）1项，主持。

[10]横向项目若干，主持。

论文列表

a)排名及影响因子出处：科睿唯安(原汤森路透)Journal Citation Reports（JCR）“https://jcr.clarivate.com/JCRLandingPageAction.action“.

b)通讯作者标注*.

1.代表论文

[1]G. Li,Y. Lin, D. Ouyang, S. Li*, X. Luo, X. Qu, D. Pi, S. E. Li, “A RGB-thermal Image Segmentation Method based on Parameter Sharing and Attention Fusion for Safe Autonomous Driving,”IEEE Transactions on Intelligent Transportation Systems, early access, doi: 10.1109/TITS.2023.3332350, 2023.

[2]G. Li,X. Qian, X. Qu, “SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based on Salient Object Segmentation Mask,”IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 10118–10137, Sep. 2023.

[3]G. Li,Z. Ji, X. Qu, “Stepwise Domain Adaptation (SDA) for Object Detection in Autonomous Vehicles Using an Adaptive CenterNet,”IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 17729–17743, Oct. 2022.

[4]Y. Chen,G. Li*,S. Li, W. Wang, S.E. Li, B. Cheng, “Exploring Behavioral Patterns of Lane Change Maneuvers for Human-Like Autonomous Driving,”IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp.14322-14335, Sep. 2022.

[5]G. Li,Y. Yang, S. Li, X. Qu, N. Lyu, S.E. Li, “Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness,”Transportation Research Part C: Emerging Technologies, vol. 134, 103452, Jan. 2022. (ESI高被引论文)

[6]G. Li,Y. Yang, T. Zhang, X. Qu, D. Cao, B. Cheng, K. Li, “Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios”,Transportation Research Part C: Emerging Technologies, vol. 122, 102820,Jan. 2021. (ESI高被引论文)

[7]G. Li,S. E. Li, B. Cheng, P. Green, “Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities,”Transportation Research Part C: Emerging Technologies, vol. 74, pp. 113–125, Jan. 2017.

[8]G. Li,Y. Yang, X. Qu, “Deep learning approaches on pedestrian detection in hazy weather”,IEEE Transactions on Industrial Electronics, vol. 67, no. 10, pp. 8889–8899, Oct. 2020. (ESI高被引论文)

[9]G. Li,Y. Qiu, Y. Yang, Z. Li, S. Li, W. Chu, P. Green, S. E. Li, “Lane change strategies for autonomous vehicles: a deep reinforcement learning approach based on transformer,”IEEE Transactions on Intelligent Vehicles, vol. 8, no. 3, pp.2197–2211, Mar. 2023.

[10]G. Li,Z. Ji, X. Qu, R. Zhou, D. Cao, “Cross-Domain Object Detection for Autonomous Driving: A Stepwise Domain Adaptative YOLO Approach,”IEEE Transactions on Intelligent Vehicles, vol. 7, no. 3, pp. 603–615, Sep. 2022.

[11]G. Li,W. Yan, S. Li, X. Qu, D. Cao, “A temporal-spatial deep learning approach for driver distraction detection based on EEG signals”,IEEE Transactions on Automation Science and Engineering, vol. 19, no. 4, pp. 2665–2677, Oct. 2022.

[12]G. Li,L. Yang, S. Li, X. Luo, X. Qu, P. Green, “Human-like decision-making of artificial drivers in intelligent transportation systems: an end-to-end driving behavior prediction approach,”IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 188–205, Nov.–Dec. 2022.

[13]G. Li,Y. Lin, X. Qu, “An infrared and visible image fusion method based on multi-scale transformation and norm optimization”,Information Fusion, vol. 71, pp. 109–129, 2021. (ESI高被引论文)

[14]G. Li,W. Lai, X. Sui, X. Li, X. Qu, T. Zhang, Y. Li, “Influence of traffic congestion on driver behavior in post-congestion driving”,Accident Analysis and Prevention, vol. 141, 105508, 2020. (ESI高被引论文)

[15]G. Li,Y. Chen, D. Cao, X. Qu, B. Cheng, K. Li, “Extraction of descriptive driving patterns from driving data using unsupervised algorithms”,Mechanical Systems and Signal Processing, vol. 156, 107589, 2021. (ESI高被引论文)

[16]S. E. Li,G. Li*,J. Yu, C. Liu, B. Cheng, J. Wang, K. Li, “Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles,”Mechanical Systems and Signal Processing, vol. 98, pp. 173–189, Jan. 2018.

[17]G. Li,D. Ouyang, L. Yang, Q. Li, K. Tian, B. Wu, G. Guo, “Cross-subject EEG Linear Domain Adaption Based on Batch Normalization and Depthwise Convolutional Neural Network,”Knowledge-Based Systems, vol. 213, 106617, Nov. 2023.

[18]G. Li,Y. Yang, X. Qu, D. Cao, K. Li, “A deep learning based image enhancement approach for autonomous driving at night”,Knowledge-Based Systems, vol. 213, 106617, 2021. (ESI高被引论文)

[19]G. Li,W. Lai, X. Qu, “Pedestrian detection based on light perception fusion of visible and thermal images,”Optics & Laser Technology, vol. 156, 108466, Dec. 2022.

[20]G. Li,Y. Wang, F. Zhu, X. Sui, N. Wang, X. Qu, P. Green, “Drivers’ visual scanning behavior at signalized and unsignalized intersections: A naturalistic driving study in China”,Journal of Safety Research, vol. 71, pp. 219–229, 2019. (ESI高被引论文，热点论文)

[*]其它相关论文，详见GoogleScholar主页：https://scholar.google.com/citations?user=ho3H9IsAAAAJ&hl=zh-CN

授权专利

[1]GuofaLi;Yifan Yang; Shenglong Li; et al.; METHOD AND DEVICE FOR MONITORING DRIVING BEHAVIOR RISK DEGREE, US Patent, 88811-35/US1918986-1, Issued Date: 2023.03.24

[2]李国法;杨一帆;赖伟鉴;等;一种基于卷积神经网络的道路目标检测方法及装置,中国, ZL 201910931498.6,授权日期：2022.05.03

[3]李国法;纪泽锋;一种目标检测模型的训练方法、目标检测方法及终端设备,中国, ZL 202010933269.0,授权日期：2023.08.18

[4]李国法;杨一帆;李盛龙;等;一种驾驶行为危险度的监测方法及装置,中国, ZL 201911099408.8,授权日期：2021.02.12

[5]李国法;颜伟荃;赖伟鉴;等;一种检测驾驶员分心的方法及装置,中国, ZL 201910707858.4,授权日期：2021.01.29

[6]李国法;李盛龙;杨一帆;等;无人车驾驶决策方法、无人车驾驶决策装置及无人车,中国, ZL 201911113303.3,授权日期：2023.04.07

[7]李国法;黄莉莎;徐刚;等;安全预警方法、装置、计算设备及存储介质,中国, ZL 201911075397.X,授权日期：2023.04.07

[8]李国法;陈耀昱;赖伟鉴;等;时间序列数据组成模式的提取方法、装置及终端设备,中国, ZL 201911106309.8,授权日期：2022.07.05

[9]李国法;朱方平;杨一帆;等;一种驾驶风格识别方法及装置,中国, ZL 201910565788.3,授权日期：2021.08.24

[10]李国法;黄莉莎;徐刚;等;行人重识别的方法、装置、终端及存储介质,中国, ZL 201911060337.0,授权日期：2023.08.18

[11]李升波;成波;李国法;等;基于驾驶模式转移概率的驾驶风格估计方法,中国, ZL 201610391483.1,授权日期：2019.04.05

[12]成波;李升波;李国法;等;一种驾驶行为危险度的监测评估方法,中国, ZL 201410777017.8,授权日期：2017.01.25

专业服务

IEEE Transactions onAffective Computing:AssociateEditor

IEEESensorsJournal: AssociateEditor

《中国公路学报》:青年编委

《交通信息与安全》:青年编委

IEEEITSC2023: AssociateEditor

IEEEITSC2022: AssociateEditor

IEEE Intelligent Transportation Systems Magazine:Lead GuestEditor

Automotive Innovation:Lead GuestEditor

IEEE Sensors Journal:GuestEditor

学生培养

1.教学及学生培养

2023年重庆市优秀本科毕设论文（设计）指导教师

2022年重庆大学教师教学创新大赛：一等奖（排名第二）

2023届重庆大学优秀本科毕设论文（设计）指导教师

2023年重庆大学优秀毕业生指导教师

2023届重庆大学卓越工程师学院优秀毕业生指导教师

2023年重庆大学机械与运载工程学院第九届青年教师教学基本功比赛：三等奖

2016.09至2022.09在深圳大学机电与控制工程学院任教，所任教本科课程教学评价全部位

于前50%，其中2/3位于前30%，所承担的《线性代数与概率论》教学评价位于前4.8%，《C程序设计》教学评价位于前0.77%

美国数学建模大赛一等奖（M奖，获奖比例：约7%）：唯一指导教师

深圳大学校级百篇优秀毕设论文：2人

深圳大学机电与控制工程学院优秀毕设论文：1人

深圳大学校级优秀毕业生：3人

深圳大学机电与控制工程学院优秀毕业生：2人

深圳大学青年教师教学能力培养计划结题项目：优秀

深圳大学优秀班主任

2.培养学生就业单位

腾讯：杨一帆、阳亮

华为：邱一凡、赖伟鉴、陈耀昱

阿里巴巴：朱方平

航天科技：谢恒

比亚迪：张朋炜、吴晓健

联发科：周伟岩

大疆：张颖洁

小米：李盛龙、李俊达

荣耀：林勇杰

快手：纪泽锋

网易：池星宇

重庆大学读博：欧阳德霖

清华大学读硕：李政霖、史志雯、霍文轩、陈略

同济大学读硕：沈攀

重庆大学读硕：邹杰

获奖及荣誉

中国科协：优秀科技论文

Automotive Innovation: Best Paper Award

中国公路学报》:优秀青年编委

中国公路学报》:优秀审稿专家（2019&2021）

IETIntelligent Transport Systems:Top Cited Article 2021-2022

Sensors:Editor’s Choice Articles

NSK Sino-Japan Friendship Outstanding Paper Prize