姓名：陈超
职称：教授、博导
专业：人工智能、大数据挖掘、城市信息学(Urban Informatics)、人类移动行为建模与分析、智慧城市应用等
联系方式：ivanchao.chen@gmail.com; cschaochen@cqu.edu.cn


研究方向为：智能无人系统、普适计算、城市大数据挖掘特别是城市时空轨迹数据挖掘、多源异构数据挖掘及信息融合等，具体研究包括智能决策、智能路线规划、智慧群智物流等(参考近三年发表文章)。在这里，我们提供国际领先的科研环境，请有意者发送CV到我邮箱。本课题组与百度、阿里（蚂蚁金服、菜鸟）、滴滴出行等企业、微软亚洲研究院、法国Institut Mines-Telecom (iMT)、美国MIT、UC Berkeley等研究机构有广泛深入的合作，可推荐优秀毕业生前往国际著名高校攻读博士学位。
欢迎报考2022重庆大学计算机学院硕士研究生！
基于时空轨迹数据的群智物流研究最新进展(推荐报考2022硕士及博士考生阅读) 。

海量移动轨迹时空压缩研究最新进展(推荐报考2022硕士及博士考生阅读) 。

移动轨迹数据挖掘研究最新进展 (推荐报考2022硕士及博士考生阅读) 。
基于百度街景图像的太阳辐射量建模及时空分析工作被Sustainable Cities and Society期刊接收（详情）。
我们基于出租车轨迹数据挖掘的群智物流研究工作两度被IEEESPECTRUM(2017 )、(2020 )报道。

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个人简介

陈超于2010年9月前往法国巴黎索邦大学（原巴黎第六大学，世界排名35）攻读博士学位。博士期间主要从事大数据挖掘以及在智慧城市相关的应用研究。2014年9月毕业后以副教授加盟重庆大学计算机学院，这是近几年来学院首次以副教授职称引进应届毕业生。并于2017年获得博士生指导资格，2018年9月破格晋升为教授，2020年入选重庆市巴渝青年****。
主要从事轨迹表示学习、人类移动行为建模 (Human Mobility Modelling)、时空轨迹数据压缩和可视化、群智感知技术及面向智慧城市应用的移动轨迹数据挖掘关键技术等研究。已发表高水平SCI论文100余篇（包括30余篇ACM/IEEE Transactions），论文被国际知名会议及世界公认的四大期刊之一的美国科学院院报（PNAS）引用，4篇论文入选ESI高被引论文，累积Google 学术引用已超过3700次（h-index为29）。特别地，有关出租车轨迹数据挖掘的工作于2011年、2016年、2020年三度被IEEE Spectrum杂志报道，在国际上产生了较高的知名度。现主持国家级科研项目6项(国家自然科学基金青年项目和面上项目、科技部“云计算与大数据处理”专项重点研发计划等)，省部级科研项目5项，中央高校基金项目3项。参与多个法国政府智慧城市、欧盟第七框架计划等国际合作项目。

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研究兴趣（只是反映了我当前的研究关注点。如果我对以下的研究方向不再感兴趣，下面的列表会缩短；同时如果我对新的研究产生了兴趣，下面的列表会增加。）

—智能无人系统
—人类移动移动行为建模
—时空轨迹挖掘与分析
—出租车轨迹数据压缩和可视化
—轨迹表示学习
—智能移动出行

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研究项目（累计共主持国家级科研项目6项、省部级科研项目6项、中央高校基金3项，总研究经费超过500万元）

—资源受限环境下基于GPS轨迹的细粒度驾驶行为识别研究， 国家自然科学项目（面上），2022-2025
—基于多模态数据语义融合的交通异常检测算法， 滴滴盖亚，2021-2022
—以乘客为中心的智能移动出行关键技术研究， 国家自然科学项目（面上），2019-2022
—智慧城市领域知识模型自增长与自演化技术研究，科技部“大数据与云计算”重点研发项目，2017-2020
—面向时空随机请求的群智物流研究，国家自然科学项目（青年），2017-2019
—面向智能移动出行的二元空间多源数据分析方法研究，重庆市自然科学项目（面上），2018-2021
—大数据时代下的群智物流研究，重庆市自然科学项目（面上），2015-2017

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发表论文(most of pdfs can be found atResarchGate;* corresponding author)

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Google Scholar Citations > 3700
PhD Dissertation
Understanding Social and Community Dynamics from Taxi GPS Data
Selected Journal Papers
15. Chenxi Liu, Chao-Xiong Chen,Chao Chen*. META: A City-wide Taxi Repositioning Framework based on Multi-Agent Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021. (CCF-B)
14. Chao Chen, Qiang Liu, et al. semi-Traj2Graph: Identifying Fine-Grained Driving Style with GPS Trajectory Data via Multi-task Learning. IEEE Transactions on Big Data (TBD), 2021.
13.Chengwu Liao, Chao Chen*, et al. Taxi-Passenger’s Destination Prediction via GPS Embedding and Attention-based BiLSTM Model. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021. (CCF-B)
12.Suiming Guo, Chao Chen*, et al. A Force-directed Approach to Seeking Route Recommendation in Ride-on-demand Service Using Multi-source Urban Data. IEEE Transactions on Mobile Computing (TMC), 2021. (CCF-A)
11. Chao Chen, Yan Ding, Suiming Guo, Yasha Wang. DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework.IEEE Transactions on Vehicular Technology (TVT), 69(10):10606-10618, 2020.
10. Chao Chen, Sen Yang, Yasha Wang, Bin Guo, Daqing Zhang.CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. IEEE Transactions on Big Data (TBD), 2020.(Featured by IEEE Spectrum)
9. Suiming Guo, Chao Chen*, et al.ROD-Revenue: Seeking Strategies Analysis and Revenue Prediction in Ride-on-Demand Service Using Multi-Source Urban Data. IEEE Transactions on Mobile Computing (TMC), 19 (9): 2202-2220,2020. (CCF-A)

8. Chao Chen, Yan Ding, et al. TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change. IEEE Transactions on Intelligent Transportation Systems (T-ITS),21(5):2012-2028, 2020. (Highly Cited Paper)(CCF-B)

7. Chao Chen, Shuhai Jiao, et al.TripImputor: Real-time Imputing Taxi Trip Purpose Leveraging Multi-sourced Urban Data. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 19(10):3292-3304, 2018. (online,Highly Cited Paper, 入选期刊影响因子贡献论文TOP20)(CCF-B)
6.Chao Chen, Daqing Zhang, et al.CrowdDeliver: Planning City-wide Package Delivery Paths Leveraging the Crowds of Taxis. IEEE Transactions on Intelligent Transportation Systems (T-ITS),18(6): 1478-1496, 2017. (Featured by IEEE Spectrum)(CCF-B)

5. Chao Chen, Xia Chen, et al. MASSR: A Memetic Algorithm for Skyline Scenic Routes Planning Leveraging Hetergeneous User-Generated Digital Footprints. IEEE Transactions on Vehicular Technology (TVT), 66(7):5723-5736, 2017.

4.Chao Chen, Daqing Zhang, et al.TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints.IEEE Transactions on Intelligent Transportation Systems(T-ITS), 16(3): 1259–1273, 2015. (CCF-B)
3.Chao Chen, Daqing Zhang, Nan Li, Zhi-Hua Zhou.B-Planner: Planning Bidirectional Night Bus Routes Using Large-scale Taxi GPS Traces.IEEE Transactions on Intelligent Transportation Systems(T-ITS), 15(4):1451 - 1465, 2014. (CCF-B)
2.Chao Chen, Daqing Zhang, et al.iBOAT: Isolation-based On-line Anomalous Trajectory Detection.IEEE Transactions on Intelligent Transportation Systems(T-ITS), 14(2): 806-818, 2013. (CCF-B、iBOAT算法被滴滴出行商用)
1. Daqing Zhang, Lin Sun, Bin Li,Chao Chen*, Gang Pan, Shijian Li and Zhaohui Wu.Understanding Taxi Service Strategies from Taxi GPS Traces.IEEE Transactions on Intelligent Transportation Systems(T-ITS), 16 (1): 123 - 135, 2015.(Featured by IEEE Spectrum) (CCF-B)

Selected Conference Papers
9. Suiming Guo*, Chao Chen*, Yaxiao Liu, Ke Xu, Daqing Zhang and Dah-Ming Chiu. A Simple but Quantifiable Approach to Dynamic Price Prediction in Ride-on-Demand Services Leveraging Multi-source Urban Data.Proceedings on the ACM (PACM) on Interactive Mobile, Wearable and Ubiquitous Technologies (IMWUT, UbiComp'18), 2018. (the first two authors contributed equally) (CCF-A)
8. Suiming Guo, Chao Chen*, Yaxiao Liu, Ke Xu, Dah-Ming Chiu.Modelling Passengers' Reaction to Dynamic Prices in Ride-on-demand Services: A Search for the Best Fare.Proceedings on the ACM (PACM) on Interactive Mobile, Wearable and Ubiquitous Technoligies (IMWUT, UbiComp'18), 2018.(CCF-A)
7.Chao Chen,Yan Ding, Shu Zhang, Bin Guo, Zhiwen Yu and Yasha Wang.GreenPlanner: Planning Personalized Fuel-efficient Driving Routes using Multi-sourced Urban Data.IEEE International Conference on Pervasive Computing and Communications (PerCom’17), Hawaii, USA, 2017. (CCF-B)
6. Leye Wang, Daqing Zhang, Animash Pathak,Chao Chen, Haoyi Xiong, Dingqi Yang, and Yasha Wang.CCS-TA: Quality-Guaranteed Online Task Allocation in Compressive CrowdSensing. Proc. of UbiComp'15,Osaka, Japan, 2015. (CCF-A)
5. Longbiao Chen, Daqing Zhang, Gang Pan, Leye Wang, Xiaojuan Ma,Chao Chenand Shijian Li.Container Throughput Estimation Leveraging Ship GPS Traces and Open Data. Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’14), Seattle, US, 2014.(CCF-A)
4.Chao Chen, Daqing Zhang, Zhi-Hua Zhou, Nan Li, Tulin Atmaca and Shijian Li.B-Planner: Night Bus Route Planning using Large-scale Taxi GPS Traces. Proceedings of the 11th IEEE International Conference on Pervasive Computing and Communications (PerCom'13), San Diego, USA, 2013. (CCF-B)
3.Chao Chen, Daqing Zhang, Pablo S. Castro, Nan Li, Lin Sun, and Shijian Li.Real-time Detection of Anomalous Taxi Trajectories from GPS Traces. Proceedingsof the 8th Annual International ICST Conference on Mobile and Ubiquitous System (MobiQuitous'11), Copenhagen, Denmark, 2011.[Best Paper Runner-Up Award]
2. Daqing Zhang, Nan Li, Zhi-Hua Zhou,Chao Chen, Lin Sun and Shijian Li.iBAT: Detecting Anomalous Taxi Trajectories from GPS Traces. Proceedings of the 13th ACM International Conference on Ubiquitous Computing (UbiComp'11), Beijing, China, 2011. (CCF-A)
1. Bin Li, Daqing Zhang, Lin Sun,Chao Chen, Guande Qi, Shijian Li and Qiang Yang.Hunting or Waiting? Discovering Passenger-Finding Strategies from a Large-scale Real-world Taxi Dataset.Workshop of Proceedings of the 9th IEEEInternational Conference on Pervasive Computing and Communications(PerCom’11), Seattle, USA,2011. (Featured by IEEE Spectrum) (CCF-B)