基本信息

吕宜生  男  硕导  中国科学院自动化研究所
电子邮件: yisheng.lv@ia.ac.cn, yisheng.casia@gmail.com
通信地址: 北京市海淀区中关村东路95号智能化大厦1112房间
邮政编码: 100190

部门/实验室:复杂系统管理与控制国家重点实验

研究领域

人工智能,机器学习,深度学习,智能驾驶,智能交通,交通大数据,智能控制

招生信息

欢迎攻读硕士学位、博士学位、博士后或实习生的同学联系我。

招非全日制硕士生/实习生,在读本科大三以上/硕士/博士,要求数学和计算机编程基础好,方向为人工智能与智能交通/智能车

教育背景

2007-09--2010-07   中国科学院自动化研究所   博士
2005-09--2007-07   哈尔滨工业大学   硕士
2001-09--2005-07   哈尔滨工业大学   本科

工作经历

2010-07至今,中国科学院自动化研究所复杂系统管理与控制国家重点实验室,助理研究员、副研究员
2014-02--2015--02,Northwestern University,Visiting Scholar

学术兼职

Associate Editor, IEEE Transactions on Intelligent Transportation Systems

自动化学报编委

Guest Editor, IEEE智能交通系统汇刊专刊“Big data and AI for computational transportation in the cyber-physical-social space”

Guest Editor, IEEE智能交通系统汇刊专刊“Intelligent transportation systems empowered by AI technologies”

Guest Editor, IEEE计算社会系统专刊“Augmenting Urban Brain with Visual and Social Intelligence”

客座编委, 自动化学报专刊“智能轨道交通系统”

IEEE智能交通学会理事会成员(BoG)

中国自动化学会综合智能交通专委会委员

IFAC Technical Committee on Transportation Systems, Member



获奖情况

2015 IEEE智能交通系统杰出应用奖

2018中国自动化学会科学技术进步奖特等奖

2019北京市科学技术进步奖二等奖

2013 IEEE SOLI最佳学生论文奖

2018年度《自动化学报》优秀论文

2018年度《IEEE/CAA Journal of Automatica Sinica》钱学森论文奖


学术论文

[1] Fenghua Zhu, Yisheng Lv, Yuanyuan Chen, Xiao Wang, Gang Xiong, Fei-Yue Wang, "Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management," in IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2019.2934991. (Corresponding Author)

[2] Yuanyuan Chen, Yisheng Lv, Fei-Yue Wang. Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks. IEEE Transactions on Intelligent Transportation Systems, vol.21, no.4, pp.1624-1630, 2020. (Corresponding Author)

[3] Chengdong Li, Jianqiang Yi, Yisheng Lv, Peiyong Duan. A Hybrid Learning Method for the Data-driven Design of Linguistic Dynamic Systems. IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 6, pp. 1487-1498, 2019. (Corresponding Author)

[4] Yuanyuan Chen, Yisheng Lv, Xiao Wang, Lingxi Li, Fei-Yue Wang. Detecting Traffic Information from Social Media Texts with Deep Learning Approaches. IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 8, pp. 3049-3058, 2019. (Corresponding Author)

[5] Yisheng Lv, Yuanyuan Chen, Li Li, Fei-Yue Wang. Generative Adversarial Networks for Parallel Transportation Systems. IEEE Intelligent Transportation Systems Magazine, vol. 10, no. 3, pp. 4-10, Fall 2018.

[6] Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li. Social Media based Transportation Research: the State of the Work and the Networking.  IEEE/CAA Journal of Automatica Sinica, 2017, 4(1): 19-26.

[7] Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, Fei-Yue Wang. Traffic Flow Prediction with Big Data: A Deep Learning Approach. IEEE Transactions on Intelligent Transportation Systems, 2015, 16: 865–873.

[8] Yisheng Lv, Xiqiao Zhang, Wenwen Kang, Yanjie Duan. Managing Emergency Traffic Evacuation with a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach. IEEE Transactions on Intelligent Transportation Systems, 2015, 16: 2182–2191.

[9] Yanjie Duan, Yisheng Lv, Yu-Liang Liu, Fei-Yue Wang. An Efficient Realization of Deep Learning for Traffic Data Imputation. Transportation Research Part C, 2016, 72: 168-181.  (Corresponding Author)

[10] Li Li, Yisheng Lv, Fei-Yue Wang. Traffic Signal Timing via Deep Reinforcement Learning. IEEE/CAA Journal of Automatica Sinica, 2016, 3: 247-254. (Corresponding Author)