Gender:Male
E-Mail:
Business Address:重庆市沙坪坝区沙正街174号重庆大学A区理科楼703
Contact Information:tangxiaolin6@126.com
tangxl0923@cqu.edu.cn
Xiaolin Tang
Professor
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Degree:Doctoral degree
Education Level:With Certificate of Graduation for Doctorate Study
Alma Mater:上海交通大学
Status:Employed
Professional Title:Professor
School/Department:机械与运载工程学院
ZipCode:
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唐小林,1984年9月生,四川广安岳池人,教授/博士生导师,国家优秀青年基金获得者,重庆市杰青。本科与硕士毕业于重庆大学,博士毕业于上海交通大学,2017.8-2018.8在加拿大滑铁卢大学访学。
主要从事新能源汽车优化设计与控制、智能汽车感知与决策控制,主持国家自然科学基金4项,省部级项目10余项。相关研究成果在Renewable & Sustainable Energy Reviews、IEEE Transactions on Vehicular Technology、IEEE Transactions on Intelligent Vehicles、IEEE Transactions on Intelligent Transportation Systems、IEEE Intelligent Transportation Systems Magazine、IEEE Transactions on Transportation Electrification、Mechanical Systems and Signal Processing、Energy、机械工程学报、中国公路学报等国内外权威期刊以一作/通讯发表论文80余篇,其中IEEE汇刊论文30余篇,撰写英文专著2部,中文译著2部。目前论文总引用5500次、H-index为42、其中ESI高被引论文13篇、热 点论文1篇;单篇最高SCI引用341次;授权发明专利40余项,其中第一发明人19项;获得重庆市自然科学一等奖1项,仿真学会自然科学一等奖1项,重庆市科技进步一等奖1项,自动化学会技术发明二等奖1项,获得机械工程学报高影响力论文奖、机械工程学报青年杰出论文奖、重庆市2018年“自然科学优秀学术论文” 、中国科协优秀论文;入选重庆市产学研合作促进会常务理事,汽车工程学会青年委员会委员、自动化学会车辆控制与智能化专委会委员,中国科协科技期刊卓越行动计划优秀审稿人、机械工程学报优秀审稿专家。担任领域内权威SCI期刊IEEE Transactions on Vehicular Technology和Transactions on Transportation Electrification副主编,担任Chinese Journal of Mechanical Engineering, International Journal of Vehicle Performance编委,担任汽车工程、重庆理工大学学报和汽车安全与节能学报等期刊青年编委。
邮箱:tangxiaolin6@126.com; tangxl0923@cqu.edu.cn
代表性论文
1. Tang X, K Yang, H Wang, J Wu, Y Qin, W Yu, D Cao. Prediction-Uncertainty-Aware Decision-Making for Autonomous Vehicles. IEEE Transactions on Intelligent Vehicles, 2022.7(4):849 - 862.
2. Tang X, B Huang, T Liu, X Lin. Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic. IEEE Transactions on Vehicular Technology. 2022, 71 (5), 4706-4717.
3. Tang X, J Chen, K Yang, M Toyoda, T Liu, X Hu. Visual Detection and Deep Reinforcement Learning-Based Car Following and Energy Management for Hybrid Electric Vehicles. IEEE Transactions on Transportation Electrification,2022, 8 (2), 2501-2515.
4. Tang X, J Zhang, X Cui, X Lin, LM Grzesiak, X Hu. Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain. IEEE Transactions on Vehicular Technology. 2022, 71 (1), 282-296.
5. Tang X ,Tong Jia, Xiaosong Hu, et al. Naturalistic Data-Driven Predictive Energy Management for Plug-in Hybrid Electric Vehicles. IEEE Transactions on Transportation Electrification. 2021, 7(2):497-508.
6. Tang X , Zhiqiang Zhang, Yechen Qin. On Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review. IEEE Intelligent Transportation Systems Magazine, 2022. 15(4): 103-128.
7. Tang X , Chen J, Liu T, et al. Distributed Deep Reinforcement Learning-Based Energy and Emission Management Strategy for Hybrid Electric Vehicles. IEEE Transactions on Vehicular Technology. 2022, 70 (10), 9922-9934.
8. Qin Y, Tang X*, Jia T, et al. Noise and vibration suppression in hybrid electric vehicles: state of the art and challenges. Renewable and Sustainable Energy Reviews, 2020, 124: 109782. (IF=16.799)
9. 唐小林,张志强,王杰;张娜,王章宇,余贵珍. 基于点特征的车载LiDAR与GPS/IMU联合标定方法研究. 中国公路学报. 2022,35(10):299-307.
10. 唐小林, 陈佳信, 高博麟, 等. 基于云控系统高精度地图驱动的深度强化学习型混合动力汽车集成控制. 机械工程学报, 2022,58(24). DOI: 10.3901/JME2022.24.163.
- 2017.8 -- 2018.8University of Waterloo , Mechanical and Mechatronics Engineering , Visiting Scholar
- 2010.9 -- 2015.3上海交通大学 , 机械工程 , Doctoral Degree in Engineering , Postgraduate (Doctoral)
- 2006.9 -- 2009.6重庆大学 , 车辆工程 , Master's Degree in Engineering , Post graduate diploma
- 2002.9 -- 2006.6重庆大学 , 工程力学 , Bachelor's Degree in Engineering , Undergraduate (Bachelor’s degree)
- 2022.9 -- Now重庆大学 , 机械与运载工程学院 , 教授
- 2018.9 -- 2022.8重庆大学 , 机械与运载工程学院 , 副教授
副教授 - 2015.3 -- 2018.8重庆大学 , 汽车工程学院 , 讲师
讲师
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College of Mechanical and Vehicle Engineering ChongQing University
Add:7th Teaching Building, Campus A,
No. 174 Shazheng Street, Shapingba District,
Chongqing, P.R.C., 400044
Office phone number: 86-023-65102401
Student Employment Office: 86-023-65112106
Undergraduate enrollment: 86-023-65111989
Graduate enrollment: 86-023-65106174