个人简介
2021年04月–至今,助理教授,广西大学
2014年09月–2021年03月,硕博连读,工学博士,北京理工大学
2017年10月–2018年10月,联合培养博士,威斯康星大学麦迪逊分校
2010年09月–2014年06月,本科,工学学位,北京理工大学
主持(参与)的主要科研项目
广西大学高层次人才-助理教授,2021.03-2024.03,在研,主持。
国家自然科学基金国际合作与交流项目,面向高维多源耦合大数据的多张量网络理论及其实证研究,2017.01-2021.12(参与)
专利
[1]谭华春,李琴,叶林辉,伍元凯,丁璠. 一种基于张量恢复的偶发性交通拥堵检测方法[P]. 江苏省:CN110111578B,2021-06-01.(已授权)
[2]丁璠,叶林辉,李琴,谭春华,宋力,陈晓轩,胡永凯. 一种基于浮动车数据加权张量重建的交通状态估计方法[P]. 江苏省:CN111311904B,2021-06-11.(已授权)
[3]李琴,丁璠,谭春华,伍元凯,叶林辉,陈晓轩. 一种基于耦合鲁棒性张量分解的偶发性交通拥堵检测方法[P]. 江苏省:CN111768635A,2020-10-13.(已公开)
[4]Shen Li, Bin Ran, Zhen Zhang, Yang Cheng, Huachun Tan, Tianyi Chen, Shuoxuan Dong, Kunsong Shi, Linhui Ye, Qin Li, Zhijun Chen, Linchao Li, Linghui Xu, Xia Wan, Xiaoxuan Chen. Vehicle On-Board Unit for Connected and Automated Vehicle Systems, US 20200021961(已公开)
[5]Bin Ran, Yang Cheng, Kun Luan, Haiyan Yu, Yi Shen, Shiyan Xu, Xiaoli Zhang, Hongli Gao, Shaohua Wang, Hongliang Wan, Linchao Li, Linghui Xu, Liling Zhu, Linfeng Zhang, Yifei Wang, Qin Li, Yanyan Qin, Hainan Huang, Dongye Sun, Liping Zhao. Connected Automated Vehicle Highway Systems and Methods Related to Heavy Vehicles, US 20190392712 (已公开)
[6]Yang Cheng, Bin Ran, Zhen Zhang, Tianyi Chen, Shen Li, Shuoxuan Dong, Kunsong Shi, Jian Zhang, Xia Wan, Xiaoxuan Chen, Linchao Li, Qin Li, Linghui Xu. Route-specific Services for Connected Automated Vehicle Highway Systems,US20200020228 (已公开)
荣誉与获奖
中国电子学会科技进步二等奖,2019,(排名:9/10)
中国生产力促进协会创新发展二等奖,2020,(排名:6/10)
招生信息
欢迎对智能网联汽车、智能交通系统感兴趣且有一定编程基础的学生报考!
研究领域
多源高维交通数据分析(张量分解,张量重建)
智能网联车路系统(智能网联汽车,智能交通系统,自动驾驶)
近期论文
查看导师新发文章
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[1]Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye. Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model[J]. Neurocomputing, 2021, 430: 138-149.
[2]Qin Li, Huachun Tan, Yuankai Wu, Linhui Ye, Fan Ding. Traffic flow prediction with missing data imputed by tensor completion methods[J]. IEEE Access, 2020, 8: 63188-63201.
[3]Huachun Tan, Qin Li, Yuankai Wuhong Wang, Bin Ran. Freeway short-term travel time prediction based on dynamic tensor completion[J]. Transportation Research Record, 2015, 2489(1): 97-104.
[4]Yi Lin, Qin Li, Dongyue Guo, Jianwei Zhang, Chensi Zhang. Tensor completion-based trajectory imputation approach in air traffic control[J]. Aerospace Science and Technology, 2021, 114: 106754.
[5]Yi Lin, Qin Li, Bo Yang, Huachun Tan, Zhengmao Chen. Improving speech recognition models with small samples for air traffic control systems[J]. Neurocomputing, 2021, 445: 287-297.
[6]Renzong Lian, Huachun Tan, Jiankun Peng, Qin Li. Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management[J]. IEEE Transactions on Vehicular Technology, 2020, 69(8): 8367-8380.
[7]Hanxuan Dong, Fan Ding, Huachun Tan, Yuankai Wu, Qin Li, Bin Ran. Rail transit OD‐matrix completion via manifold regularized tensor factorisation[J]. IET Intelligent Transport Systems, 2021.
[8]Huachun Tan, Qin Li, Yuankai Wu, Bin Ran. Tensor recovery based non-recurrent traffic congestion recognition[M]//CICTP 2015. 2015: 591-603.
学术兼职
Neurocomputing、IEEE Access期刊审稿人