基本信息
陈圆圆 男 中国科学院自动化研究所
电子邮件： yuanyuan.chen@ia.ac.cn
通信地址： 北京市海淀区中关村东路95号
邮政编码：100190
研究领域
（1） 复杂系统，平行智能
（2）可持续交通，智能交通，无人驾驶
（3）机器学习
招生信息
欢迎攻读硕士学位的同学联系我，要求数学基础好、具备基本的计算机编程能力，方向为人工智能与无人驾驶/智能交通
招生专业
0812J2-社会计算
招生方向
复杂系统，平行智能，智能交通，机器学习
教育背景
2013-09--2018-06 中国科学院大学 博士
2009-09--2013-07 同济大学 学士
2009-09--2013-07 同济大学 学士
工作经历
工作简历
2018-07~现在, 中国科学院自动化研究所, 助理研究员、副研究员
社会兼职
2022-12-01-今,IEEE IEEE Transactions on Intelligent Vehicles编委, 编委
专利与奖励
奖励信息
（1） 中国智能交通协会技术发明二等奖, 二等奖, 其他, 2022
（2） 中国自动化学会自然科学奖一等奖, 一等奖, 其他, 2020
（2） 中国自动化学会自然科学奖一等奖, 一等奖, 其他, 2020
专利成果
（ 1 ） 基于生成对抗网络和语义编辑的交通流合成方法及系统, 发明专利, 2023, 第 1 作者, 专利号: CN115965029A
（ 2 ） 公交客流预测方法及系统, 发明专利, 2021, 第 4 作者, 专利号: CN112766597A
（ 3 ） 基于深度学习网络的多区域车辆需求预测方法及系统, 发明专利, 2021, 第 3 作者, 专利号: CN112861925A
（ 4 ） 基于稀疏卷积神经网络的模型压缩方法、系统及相关设备, 发明专利, 2021, 第 4 作者, 专利号: CN112183748A
（ 5 ） 聚焦关键样本的基于集成学习的道路区域检测方法、系统, 发明专利, 2020, 第 3 作者, 专利号: CN111507258A
（ 6 ） 基于深度学习的分时段交通流趋势预测方法、系统、装置, 发明专利, 2021, 第 4 作者, 专利号: CN111508230B
（ 7 ） 基于混合深度学习的短时交通流量预测方法、系统、装置, 专利授权, 2020, 第 4 作者, 专利号: 110675623B
（ 8 ） 基于集成学习的交通流预测模型、预测方法、系统、装置, 发明专利, 2019, 第 1 作者, 专利号: CN110517494A
（ 9 ） 基于平行集成学习的交通路径推荐方法、系统、装置, 专利授权, 2019, 第 3 作者, 专利号: CN110517492A
（ 10 ） 基于深度强化学习单路口交通信号控制方法、系统、装置, 发明专利, 2019, 第 4 作者, 专利号: CN110428615A
（ 11 ） 一种基于LSTM的路段行程时间预测方法, 发明专利, 2016, 第 4 作者, 专利号: CN106096767A
（ 2 ） 公交客流预测方法及系统, 发明专利, 2021, 第 4 作者, 专利号: CN112766597A
（ 3 ） 基于深度学习网络的多区域车辆需求预测方法及系统, 发明专利, 2021, 第 3 作者, 专利号: CN112861925A
（ 4 ） 基于稀疏卷积神经网络的模型压缩方法、系统及相关设备, 发明专利, 2021, 第 4 作者, 专利号: CN112183748A
（ 5 ） 聚焦关键样本的基于集成学习的道路区域检测方法、系统, 发明专利, 2020, 第 3 作者, 专利号: CN111507258A
（ 6 ） 基于深度学习的分时段交通流趋势预测方法、系统、装置, 发明专利, 2021, 第 4 作者, 专利号: CN111508230B
（ 7 ） 基于混合深度学习的短时交通流量预测方法、系统、装置, 专利授权, 2020, 第 4 作者, 专利号: 110675623B
（ 8 ） 基于集成学习的交通流预测模型、预测方法、系统、装置, 发明专利, 2019, 第 1 作者, 专利号: CN110517494A
（ 9 ） 基于平行集成学习的交通路径推荐方法、系统、装置, 专利授权, 2019, 第 3 作者, 专利号: CN110517492A
（ 10 ） 基于深度强化学习单路口交通信号控制方法、系统、装置, 发明专利, 2019, 第 4 作者, 专利号: CN110428615A
（ 11 ） 一种基于LSTM的路段行程时间预测方法, 发明专利, 2016, 第 4 作者, 专利号: CN106096767A
出版信息
发表论文
[1] Wei, Zebing, Zhao, Hongxia, Li, Zhishuai, Bu, Xiaojie, Chen, Yuanyuan, Zhang, Xiqiao, Lv, Yisheng, Wang, FeiYue. STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction. IEEE/CAA Journal of Automatica Sinica[J]. 2023, 第 5 作者10(1): 226-238, http://dx.doi.org/10.1109/JAS.2023.123033.
[2] Chen, Jicheng, Zhang, Yongkang, Teng, Siyu, Chen, Yuanyuan, Zhang, Hui, Wang, FeiYue. ACP-Based Energy-Efficient Schemes for Sustainable Intelligent Transportation Systems. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2023, 第 4 作者8(5): 3224-3227, http://dx.doi.org/10.1109/TIV.2023.3269527.
[3] Chen, Yuanyuan, Zhang, Hui, Wang, FeiYue. Society-Centered and DAO-Powered Sustainability in Transportation 5.0: An Intelligent Vehicles Perspective. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2023, 第 1 作者8(4): 2635-2638, http://dx.doi.org/10.1109/TIV.2023.3264585.
[4] Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang, Yuanyuan Chen. Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder. 25th IEEE International Conference on Intelligent Transportation Systems (ITSC). 2022, 第 5 作者
[5] Cao, Dongpu, Wang, Xiao, Li, Lingxi, Lv, Chen, Na, Xiaoxiang, Xing, Yang, Li, Xuan, Li, Ying, Chen, Yuanyuan, Wang, FeiYue. Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2022, 第 9 作者7(1): 7-10, http://dx.doi.org/10.1109/TIV.2022.3157049.
[6] Yuanyuan Chen, Hongyu Chen, Peijun Ye, Yisheng Lv, Fei-Yue Wang. Acting as a Decision Maker: Traffic-Condition- Aware Ensemble Learning for Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems[J]. 2022, 第 1 作者23(4): 3190-3200,
[7] Zhishuai Li, Gang Xiong, Yonglin Tian, Yisheng Lv, Yuanyuan Chen, Pan Hui, Xiang Su. A Multi-Stream Feature Fusion Approach for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems[J]. 2022, 第 5 作者23(2): 1456-1466,
[8] 覃缘琪, 季青原, 葛俊, 戴星原, 陈圆圆, 王晓. 城市交通路网动态短时推理与精准预测研究. 智能科学与技术学报[J]. 2022, 第 5 作者4(3): 380-395, http://lib.cqvip.com/Qikan/Article/Detail?id=7108041802.
[9] Zhu, Fenghua, Lv, Yisheng, Chen, Yuanyuan, Wang, Xiao, Xiong, Gang, Wang, FeiYue. Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2020, 第 3 作者21(10): 4063-4071, http://dx.doi.org/10.1109/TITS.2019.2934991.
[10] Yuanyuan Chen, Yisheng Lv, Peijun Ye, Fenghua Zhu. Traffic-Condition-Awareness Ensemble Learning for Traffic Flow Prediction. IFAC PAPERSONLINE. 2020, 第 1 作者 通讯作者 53(5): 582-587, http://dx.doi.org/10.1016/j.ifacol.2021.04.146.
[11] Chen, Yuanyuan, Lv, Yisheng, Wang, FeiYue. Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2020, 第 1 作者21(4): 1624-1630, http://dx.doi.org/10.1109/TITS.2019.2910295.
[12] Li, Zhishuai, Xiong, Gang, Chen, Yuanyuan, Lv, Yisheng, Hu, Bin, Zhu, Fenghua, Wang, FeiYue, IEEE. A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction. 2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC). 2019, 第 3 作者1929-1933,
[13] Chen, Yuanyuan, Lv, Yisheng, Wang, Xiao, Li, Lingxi, Wang, FeiYue. Detecting Traffic Information From Social Media Texts With Deep Learning Approaches. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2019, 第 1 作者20(8): 3049-3058, http://dx.doi.org/10.1109/TITS.2018.2871269.
[14] Chen, Yuanyuan, Lv, Yisheng, Wang, Xiao, Wang, FeiYue, IEEE. Traffic Flow Prediction with Parallel Data. 2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2018, 第 1 作者614-619,
[15] Lv, Yisheng, Chen, Yuanyuan, Li, Li, Wang, FeiYue. Generative Adversarial Networks for Parallel Transportation Systems. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE[J]. 2018, 第 2 作者10(3): 4-10, http://dx.doi.org/10.1109/MITS.2018.2842249.
[16] 王飞跃, 赵学亮, 王晓, 刘玉强, 陈圆圆, 吕宜生. 开源交通信息获取及分析系统. 2017, 第 5 作者http://ir.ia.ac.cn/handle/173211/20176.
[17] Chen Yuanyuan, Lv Yisheng, Wang Xiao, Wang FeiYue. A Convolutional Neural Network for Traffic Information Sensing from Social Media Text. 2017, 第 1 作者1-6, http://ir.ia.ac.cn/handle/173211/20173.
[18] Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li. Social Media Based Transportation Research: the State of the Work and the Networking. 自动化学报：英文版[J]. 2017, 第 2 作者19-26, http://lib.cqvip.com/Qikan/Article/Detail?id=90687266504849554849484851.
[19] Lv, Yisheng, Chen, Yuanyuan, Zhang, Xiqiao, Duan, Yanjie, Li, Naiqiang. Social Media Based Transportation Research: the State of the Work and the Networking. IEEE-CAA JOURNAL OF AUTOMATICA SINICA[J]. 2017, 第 2 作者4(1): 19-26, http://lib.cqvip.com/Qikan/Article/Detail?id=90687266504849554849484851.
[20] Kang, Danqing, Lv, Yisheng, Chen, Yuanyuan, IEEE. Short-term Traffic Flow Prediction with LSTM Recurrent Neural Network. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2017, 第 3 作者
[21] Chen, Yuanyuan, Lv, Yisheng, Wang, Xiao, Wang, FeiYue, IEEE. A Convolutional Neural Network for Traffic Information Sensing from Social Media Text. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2017, 第 1 作者
[22] Kang, Danqing, Lv, Yisheng, Chen, Yuanyuan, IEEE. Short-term Traffic Flow Prediction with LSTM Recurrent Neural Network. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2017, 第 3 作者
[23] Wang FeiYue, Li Zhenjiang, Lv Yisheng, Chen Yuanyuan. Long Short-Term Memory Model for Traffic Congestion Prediction with Online Open Data. 2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2016, 第 4 作者132-137, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000392215500022.
[24] Chen Yuanyuan, Lv Yisheng. Analysis and forecasting of urban traffic condition based on categorical data. 2016, 第 1 作者http://ir.ia.ac.cn/handle/173211/20172.
[2] Chen, Jicheng, Zhang, Yongkang, Teng, Siyu, Chen, Yuanyuan, Zhang, Hui, Wang, FeiYue. ACP-Based Energy-Efficient Schemes for Sustainable Intelligent Transportation Systems. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2023, 第 4 作者8(5): 3224-3227, http://dx.doi.org/10.1109/TIV.2023.3269527.
[3] Chen, Yuanyuan, Zhang, Hui, Wang, FeiYue. Society-Centered and DAO-Powered Sustainability in Transportation 5.0: An Intelligent Vehicles Perspective. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2023, 第 1 作者8(4): 2635-2638, http://dx.doi.org/10.1109/TIV.2023.3264585.
[4] Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang, Yuanyuan Chen. Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder. 25th IEEE International Conference on Intelligent Transportation Systems (ITSC). 2022, 第 5 作者
[5] Cao, Dongpu, Wang, Xiao, Li, Lingxi, Lv, Chen, Na, Xiaoxiang, Xing, Yang, Li, Xuan, Li, Ying, Chen, Yuanyuan, Wang, FeiYue. Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2022, 第 9 作者7(1): 7-10, http://dx.doi.org/10.1109/TIV.2022.3157049.
[6] Yuanyuan Chen, Hongyu Chen, Peijun Ye, Yisheng Lv, Fei-Yue Wang. Acting as a Decision Maker: Traffic-Condition- Aware Ensemble Learning for Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems[J]. 2022, 第 1 作者23(4): 3190-3200,
[7] Zhishuai Li, Gang Xiong, Yonglin Tian, Yisheng Lv, Yuanyuan Chen, Pan Hui, Xiang Su. A Multi-Stream Feature Fusion Approach for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems[J]. 2022, 第 5 作者23(2): 1456-1466,
[8] 覃缘琪, 季青原, 葛俊, 戴星原, 陈圆圆, 王晓. 城市交通路网动态短时推理与精准预测研究. 智能科学与技术学报[J]. 2022, 第 5 作者4(3): 380-395, http://lib.cqvip.com/Qikan/Article/Detail?id=7108041802.
[9] Zhu, Fenghua, Lv, Yisheng, Chen, Yuanyuan, Wang, Xiao, Xiong, Gang, Wang, FeiYue. Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2020, 第 3 作者21(10): 4063-4071, http://dx.doi.org/10.1109/TITS.2019.2934991.
[10] Yuanyuan Chen, Yisheng Lv, Peijun Ye, Fenghua Zhu. Traffic-Condition-Awareness Ensemble Learning for Traffic Flow Prediction. IFAC PAPERSONLINE. 2020, 第 1 作者 通讯作者 53(5): 582-587, http://dx.doi.org/10.1016/j.ifacol.2021.04.146.
[11] Chen, Yuanyuan, Lv, Yisheng, Wang, FeiYue. Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2020, 第 1 作者21(4): 1624-1630, http://dx.doi.org/10.1109/TITS.2019.2910295.
[12] Li, Zhishuai, Xiong, Gang, Chen, Yuanyuan, Lv, Yisheng, Hu, Bin, Zhu, Fenghua, Wang, FeiYue, IEEE. A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction. 2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC). 2019, 第 3 作者1929-1933,
[13] Chen, Yuanyuan, Lv, Yisheng, Wang, Xiao, Li, Lingxi, Wang, FeiYue. Detecting Traffic Information From Social Media Texts With Deep Learning Approaches. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2019, 第 1 作者20(8): 3049-3058, http://dx.doi.org/10.1109/TITS.2018.2871269.
[14] Chen, Yuanyuan, Lv, Yisheng, Wang, Xiao, Wang, FeiYue, IEEE. Traffic Flow Prediction with Parallel Data. 2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2018, 第 1 作者614-619,
[15] Lv, Yisheng, Chen, Yuanyuan, Li, Li, Wang, FeiYue. Generative Adversarial Networks for Parallel Transportation Systems. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE[J]. 2018, 第 2 作者10(3): 4-10, http://dx.doi.org/10.1109/MITS.2018.2842249.
[16] 王飞跃, 赵学亮, 王晓, 刘玉强, 陈圆圆, 吕宜生. 开源交通信息获取及分析系统. 2017, 第 5 作者http://ir.ia.ac.cn/handle/173211/20176.
[17] Chen Yuanyuan, Lv Yisheng, Wang Xiao, Wang FeiYue. A Convolutional Neural Network for Traffic Information Sensing from Social Media Text. 2017, 第 1 作者1-6, http://ir.ia.ac.cn/handle/173211/20173.
[18] Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li. Social Media Based Transportation Research: the State of the Work and the Networking. 自动化学报：英文版[J]. 2017, 第 2 作者19-26, http://lib.cqvip.com/Qikan/Article/Detail?id=90687266504849554849484851.
[19] Lv, Yisheng, Chen, Yuanyuan, Zhang, Xiqiao, Duan, Yanjie, Li, Naiqiang. Social Media Based Transportation Research: the State of the Work and the Networking. IEEE-CAA JOURNAL OF AUTOMATICA SINICA[J]. 2017, 第 2 作者4(1): 19-26, http://lib.cqvip.com/Qikan/Article/Detail?id=90687266504849554849484851.
[20] Kang, Danqing, Lv, Yisheng, Chen, Yuanyuan, IEEE. Short-term Traffic Flow Prediction with LSTM Recurrent Neural Network. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2017, 第 3 作者
[21] Chen, Yuanyuan, Lv, Yisheng, Wang, Xiao, Wang, FeiYue, IEEE. A Convolutional Neural Network for Traffic Information Sensing from Social Media Text. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2017, 第 1 作者
[22] Kang, Danqing, Lv, Yisheng, Chen, Yuanyuan, IEEE. Short-term Traffic Flow Prediction with LSTM Recurrent Neural Network. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2017, 第 3 作者
[23] Wang FeiYue, Li Zhenjiang, Lv Yisheng, Chen Yuanyuan. Long Short-Term Memory Model for Traffic Congestion Prediction with Online Open Data. 2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). 2016, 第 4 作者132-137, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000392215500022.
[24] Chen Yuanyuan, Lv Yisheng. Analysis and forecasting of urban traffic condition based on categorical data. 2016, 第 1 作者http://ir.ia.ac.cn/handle/173211/20172.
科研活动
科研项目
（ 1 ） 中国科学院青年促进会人才专项, 负责人, 中国科学院计划, 2023-03--2026-12
（ 2 ） 人机物融合的应用建模和执行技术, 参与, 国家任务, 2018-05--2024-05
（ 2 ） 人机物融合的应用建模和执行技术, 参与, 国家任务, 2018-05--2024-05