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师资队伍
陈超
时间:2017-10-13    浏览量:次



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)、智慧城市应用等

联系方式:ivanchao.chen@gmail.com; cschaochen@cqu.edu.cn


大数据与智慧计算实验室招收弘深青年教师等职位,欢迎加盟!(详细情况请点击

欢迎报考20203522.comwww.3522.com硕士、博士研究生!实验室名额充足但竞争激烈,请提前联系。考生可浏览www.bdsc.site  获取实验室更多先容。研究方向为: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、社会车联网等,具体研究包括智能路线规划、智慧群智物流等(参考近三年发表文章)。在这里,大家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)、滴滴等企业、MicroSoft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。

海量移动轨迹时空压缩研究最新进展(推荐报考2020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2020硕士及博士考生阅读) 。

TripImputor: Real-time Imputing Taxi Trip Purpose Leveraging Multi-sourced Urban Data 入选ESI Highly Cited Paper !

大家基于出租车轨迹数据挖掘的群智物流研究工作被IEEE Spectrum报道。


个人概况

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3522.comwww.3522.com,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年获得博士生引导资格,2018年9月破格晋升为教授。

主要从事常识表示学习(Graph/Network Embeddings)、领域常识模型演化增长技术、人类活动行为建模 (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40余篇(包括20余篇ACM/IEEE Transactions),论文被国际知名会议(SIGMOD、IJCAI、UbiComp等)及世界公认的四大期刊之一的美国科学院院报(PNAS)引用,累积谷歌 学术引用已超过2600次。特别地,有关出租车轨迹数据挖掘的工作于2011年和2016年两度被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5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。


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。)

—人类移动活动建模分析

—时空轨迹挖掘与分析

—出租车轨迹数据压缩和可视化

—表示学习

—智能移动出行

FECE12E22



研究项目累计共主持国家级科研项目5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300万元

—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

智慧城市领域常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


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


谷歌 Scholar Citations > 2600 

PhD Dissertation

Understanding Social and Community Dynamics from Taxi GPS Data

Selected Journal Papers

11. 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. 

10. 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), 2019. (CCF-A)

9. 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. (CCF-B)

8. 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(CCF-B)

7. Chao Chen, Xia Chen, Leye Wang, Xiaojuan Ma, Zhu Wang, Kai Liu, Bin Guo and Zhen Zhou. MA-SSR: A Memetic Algorithm for Skyline Scenic Routes Planning Leveraging Heterogeneous User-generated Digital Footprints. IEEE Transactions on Vehicular Technology (TVT), 66(7):5723-5736, 2017. (CCF-B)

6. Chao Chen, Daqing Zhang, Xiaojuan Ma, Bin Guo, Leye Wang, Yasha Wang and Edwin Sha. 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, Daqing Zhang, Bin Guo, Xiaojuan Ma, Gang Pan and Zhaohui Wu. TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints. IEEE Transactions on Intelligent Transportation Systems(T-ITS), 16(3): 1259–1273, 2015. (CCF-B)

4. 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)

3. Chao Chen, Daqing Zhang, Pablo S. Castro, Nan Li, Lin Sun, Shijian Li and Zonghui Wang. iBOAT: Isolation-based On-line Anomalous Trajectory DetectionIEEE Transactions on Intelligent Transportation Systems(T-ITS), 14(2): 806-818, 2013. (CCF-B)

2. Pablo S. Castro, Daqing Zhang, Chao Chen, Shijian Li and Gang Pan. From Taxi GPS Traces to Social and Community Dynamics: A Survey. ACM Computing Surveys(CSUR), 17:1-17:34, 2013.

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. (CCF-B)

Selected Conference Papers

10. 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 Technoligies (IMWUT, UbiComp'18), 2018. (the first two authors contributed equally) (CCF-A)

9. 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 FareProceedings on the ACM (PACM) on Interactive Mobile, Wearable and Ubiquitous Technoligies (IMWUT, UbiComp'18), 2018. (CCF-A)

8. Suiming Guo,Chao Chen*, Yaxiao Liu, Ke Xu, Dah-Ming Chiu. It Can be Cheaper: Using Price Prediction to Obtain Better Prices from Dynamic Pricing in Ride-on-demand Services. EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous'17), Melbourne, Australia, 2017. 

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 Chen and 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 DatasetWorkshop of Proceedings of the 9th IEEEInternational Conference on Pervasive Computing and Communications(PerCom’11), Seattle, USA,2011. (Featured by IEEE Spectrum) (CCF-B)



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