李睿琪,博士,副教授

发布人:信息学院发布时间:2020-03-31浏览次数:1385


李睿琪,北京化工大学网投十大信誉平台副教授,北京师范大学系统科学博士,博士期间在MITBoston University进行联合培养,本科就读于电子科技大学国际化软件人才实验班。主要研究方向为城市大数据分析与建模、复杂网络与流行病传播动力学。目前发表SCI论文近二十篇,引用290余次,相应工作发表在《自然》子刊Nature Communications、Scientific Reports、Physical Review E、IEEE Access、Physica A等顶级SCI期刊,并在Statphys25/26、Conference of Complex Systems、NetSci、NetSciX等多个国际大会上作口头报告,曾荣获第十二届社会网与社会资本研究年会最佳论文奖。现为复杂性科学学会会,Scientific Reports、Cities、IEEE Access、Habitat International、The WebConf (former WWW)、IEEE VIS、Journal of Statistical Mechanics、CCS、PLoS One、Physica A、IJMPC、TRB/TRR、Journal of Systems Science and Complexity等多个SCI、SSCI期刊与计算机顶级会议的审稿人。

邮箱:lir@mail.buct.edu.cn


教学课程 Teaching Courses

课程名称课程备注
Python语言程序设计(Python Programing)本科生
计算机前沿讲座课(Advances on Computer Science)本科生
网络科学导论(Introduction to Network Science)研究生(留学生)
数据结构(Data Structure)
本科生
高级语言程序设计(Advanced Language Programming)本科生


主要成果、奖励 Main Achievements and Awards

  1. 北京市优秀博士毕业生

  2. 北京师范大学优秀博士论文

  3. 北京师范大学优秀博士毕业生

  4. 博士国家奖学金

  5. 第十二届社会网与社会资本研究年会最佳论文奖(排名第一)

  6. 北京化工大学优秀班主任


主要科研项目 Research Projects

项目名称项目来源
多城市系统耦合演化对标度律异质性的影响研究国家自然科学基金青年基金
多城市系统生长与共演化研究北京化工大学引进人才启动项目
Mining Big Data to Link Affordable Housing Policy with Traffic Congestion Mitigation in Beijing, ChinaMIT & STL Lab
Clearer Skies in Beijing, Collecting and Interpreting Relevant Spatio-temporal Data for Air Quality AssessmentMIT
网络节点重要性的强化学习程序及测试科技部
基于红外与高分可见光影响的目标综合识别技术北京空间机电研究所
互联网上的集体注意力流研究国家自然科学基金面上项目(参与)
开放环境下世界人口迁移对中国的影响研究国家自然科学基金青年基金(参与)


学术论文 Research Publications

 Ruiqi Li, Lei Dong, Jiang Zhang, Xinran Wang, Wenxu Wang, Zengru Di, H. Eugene Stanley. Simple spatial scaling rules behind complex cities. Nature Communications, 2017, 8: 1841

● Ruiqi Li*, Shuai Gao, Ankang Luo, Qing Yao*, Bingsheng Chen, Fan Shang, Rui Jiang, H. Eugene Stanley*. Gravity model in dockless bike-sharing systems within cities. Physical Review E, 2021, 103 (1): 012312

● Ruiqi Li, Lingyun Lu, Tianyu Cui, Weiwei Gu*, Shaodong Ma, Gang Xu*, H. Eugene Stanley*. Assessing the attraction of cities on venture capital from a scaling law perspective, IEEE Access, 2021, 9: 48052-48063 

● Chen Wang, Lu Wang*, Yanbo Xue, Ruiqi Li*, Revealing spatial spillover effect in high-tech industry agglomeration from a high-skilled labor flow network perspective, Journal of Systems Science and Complexity, 2021

● Guangren Cai, Gang Lu*, Junxia Guo, Cheng Ling, Ruiqi Li*. Fast Representative Sampling in Large-Scale Online Social Networks. IEEE Access, 2020, 8: 77106-77120

● Weiwei Gu, Li Gong, Xiaodan Lou, Jiang Zhang*. The hidden flow structure and metric space of network embedding algorithms based on random walks. Scientific Reports, 2017, 7: 13114

● Lei Dong, Ruiqi Li*, Jiang Zhang*, Zengru Di. Population-weighted efficiency in transportation networks. Scientific Reports, 2016, 6: 26377

● Weiwei GuRuiqi Li, Fei Gao, Jiang Zhang*. Learning Network Representation via Link Prediction by Graph Neural Networks. Journal of Social Computing, 2021, 2 (1): 43-51 

    ● Ruiqi Li*, Lei Dong, Xinran Wang, Jiang Zhang*. Geometric origins of the Complex Cities. Proceedings of ECCS 2014 (CPCI-S), 2014, Chapter 5: 45-57

    ● Ruiqi Li, Ming Tang*, Pak-Ming Hui. Epidemic spreading on multi-relational networks. Acta Physica Sinica (SCI), 2013, 62(16): 168903

● Guangren Cai, Gang Lu*, Junxia Guo, Cheng Ling, Ruiqi Li*. Fast Representative Sampling in Large-Scale Online Social Networks. IEEE Access, 2020, 8: 77106-77120, doi.org/10.1109/ACCESS.2020.2989504

● Ankang Luo#, Shuai Gao#, Ao Yang, Gang Lu*, Rui Jiang*, Yanyan Xu, Ruiqi Li*. Revealing the different characteristics of travelers and their transport media: a case study of dock-less bike sharing system. Proceedings of the 20th COTA International Conference of Transportation Professionals (CICTP 2020), 2020, 5167-5179

● Xinmiao Sun, Ruiqi Li*, Zhen Yuan. Anomaly Detection in Discrete Manufacturing Systems by Pattern Relation Table Approaches. Sensors (SCI), 2020, 20: 5766

    ● Yanyan Xu, Shan Jiang, Ruiqi Li, Jiang Zhang, Jinhua Zhao, Sofiane Abbark, Marta C. Gonzalez*. Unraveling Environmental Justice in Ambient PM2.5 Exposure in Beijing: A Big Data Approach. Computers, Environment and Urban Systems (SSCI), 2019, 75: 12-21.

    ● Gang Lu, Jingyang Gao, Ruiqi Li. iSchood: a Tool Software for Identifying Suspicious Copied Homework Documents with Definitive Contents. Proceedings of 15th International Conference on Computer Science & Education (ICCSE) (EI), 2020, IEEE, pp. 511-516.

● Weiwei Gu, Ruiqi Li, Fei Gao, Jiang Zhang*. Learning Network Representation via Link Prediction by Graph Neural Networks. Journal of Social Computing, 2021

● Gaogao Dong, Ting Qing, Ruijin Du*, Chao Wang, Ruiqi Li, Minggang Wang, Lixin Tian, Lin Chen, André L.M. Vilela, H. Eugene Stanley. Complex network approach for the structural optimization of global crude oil trade system. Journal of Cleaner Production (SCI Top), 2019, JCLP 119366

    ● Lei Gao, Ruiqi Li, Wei Wang*, Panpan Shu, Hui Gao*, Shimin Cai. Effects of individual popularity on information spreading on complex networks. Physica A-Statistical Mechanics and its Applications (SCI), 2018, 489: 32-39

    ● Yanyan Xu*, Ruiqi Li, Shan Jiang, Jiang Zhang, Marta C. Gonzalez. Clearer skies in Beijing - revealing the impacts of traffic on the predictability of air quality. Transportation Research Board (TRB) 96th Annual Meeting, 2017, 17-05211.

    ● Manuel A. Florez, Shan Jiang, Ruiqi Li, Carlos H. Mojica, Ramiro A. Rios, Marta C. Gonzalez*. Measuring the impacts of economic well-being in commuting networks—a case study of Bogota, Colombia. Transportation Research Board (TRB) 96th Annual Meeting, 2017, 17-03745.

    ● Jarder Luo*, Ruiqi Li, Fangda Fan, Jie Tang. Repeated Cooperation Matters — An Analysis of Syndication in the Chinese VC Industry by ERGM Model. Chapter 7 of Social Network Analysis: Interdisciplinary Approaches and Case Studies, CRC Press, 2017, p177-p193

    ● Hongmei Lei, Ying Chen, Ruiqi Li, Deli He, Jiang Zhang. Maximum Entropy for the International Division of Labor. PLoS One (SCI), 2015, 10(7), e0129955

    ● Zhao Fei, Zhou Tao, Zhang Liang, Ma Minghui, Liu Jinhu, Yu Fei, Zha Yilong, Li Ruiqi. Research Progress on Wikipedia. Journal of UESTC (EI), 2010, 39(3). (in Chinese)

邀请报告 Invited Talks

    ● 6th Annual meeting on Complexity Science of China, (Xining, China, 2020), The Emergence of Scaling in Dockless Bike-Sharing Systems from the interplay between travelers and transport conveyances

    ● Workshop: Advances on complex systems and social computing, Beijing Computational Research Science Center, (Beijing, China, 2019),Urban Spatial scaling: from active population to folding cities

    ● Mansueto Institute Workshop on Cities and Urbanization in China, (Hong Kong, China, 2019), Fusing urban computation and modeling: From human interactions to transportation efficiency and urban evolution

    ● Conference on Complex Systems 2018, (Thessaloniki, Greece, 2018), [Plenary Session – Lightning Talk] Simple Spatial Scaling Rules behind Complex Cities, Video link: https://youtu.be/qcfM96JM0vw


    ● 4th Annual meeting on Complexity Science of China 2018, (Dalian, China, 2018), [Plenary] Simple Spatial Scaling Rules behind Complex Cities

    ● Tencent Institute and Swarma Club, (Beijing, China, 2018), Growth and Design – Urban studies from a systems science perspective [in Chinese][生长与设计 – 复杂性视角下的智慧城市], Video link: https://campus.swarma.org/gpac=395


专业活动 Professional Activities

    ● PC Member: CCS (Conference on Complex Systems), Singapore, Sep. 30th - Oct. 4th, 2019

    ● Reviewer: TheWebConf 2020 (former WWW, CCF A/Top Conference), Taiwan, China, Apr. 20th - 24th, 2020; IEEE VIS 2020 (CCF A/Top Conference), Salt Lake City, Utah, USA, Oct. 25-30th, 2020; Scientific ReportsScientific DataCitiesIEEE AccessHabitat InternationalJournal of Statistical MechanicsComplexityPLoS OnePhysica AIJMPCTRB/TRRJournal of Systems Science and Complexity, International Journal of Sustainable Transportation, etc.