Prof. Dr. Jianqiu Xu's Homepage

Jianqiu

Short Biography

Jianqiu Xu got his bachelor and master degrees from Nanjing University of Aeronautics and Astronautics in 2005 and 2008, respectively. From 2008.9 to 2012.9, he was a Ph.D student supervised by Prof. Dr. Ralf Hartmut Güting (retired in February, 2021) from FernUniversität in Hagen, Germany. He mainly focused on moving objects with multiple transportation modes and got his Ph.D in July 2012, with the score "magna cum laude" (from Latin, meaning with great honor). He is a member of ACM SIGSPATIAL (since 2014), ACM (since 2019) and IEEE (since 2019).

Ph.d Thesis, Moving Objects with Multiple Transportation Modes, July, 2012, with the score "magna cum laude" (from Latin, meaning with great honor).

Transportation Mode website: http://dna.fernuni-hagen.de/Secondo.html/index.html.

  • From Jan.,2013, he joined Nanjing University of Aeronautics and Astronautics in China as an assistant professor.
  • June, 2013 - June, 2020, associate professor in Nanjing University of Aeronautics and Astronautics, China.
  • July, 2020 - now, professor in Nanjing University of Aeronautics and Astronautics, China.

    • Education Information

  • 2008.9 - 2012.7: Ph. D (Dr.rer.nat. in German). Database Systems for New Applications, Mathematics and Computer Science, FernUniversität in Hagen, Germany

  • 2005.9 - 2008.4: M. E., Computer Engineering and Science Department, Nanjing University of Aeronautics and Astronautics, China.

  • 2001.9 - 2005.6: B. E., Computer Engineering and Science Department, Nanjing University of Aeronautics and Astronautics, China.

    • Address and contact

  • College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics. General Avenue NO.29, Jiangning District, Nanjing, 211106, P.R.China

  • jianqiu@nuaa.edu.cn

    • Research Interests

  • spatial databases
  • moving objects databases

    • Fundings

  • NSFC 61300052 (2014.1-2016.12), The index technology for moving objects with multiple transporation modes
  • NSFC 61972198 (2020.1-2023.12), Multi-modal, intelligent and user-friendly moving objects databases

    • Publications

    Books and chapter

    Jianqiu   Jianqiu >   Jianqiu

    J. Xu. Moving Objects with Transportation Modes (1st) AkademikerVerlag, Germany, 2016 (ISBN:978-3-330-50970-2).

    J. Xu. Moving Objects with Transportation Modes (2nd) AkademikerVerlag, Germany, 2017 (ISBN:978-3-330-52117-9).

    J. Xu. Multi-attribute Trajectory Data Management (chapter), the Handbook of Big GeoSpatial Data, 2021 (ISBN 978-3-030-55462-0).

    Awards

    X. Wang and J. Xu and H. Lu. NALMO: A Natural Language Interface for Moving Objects Databases，SSTD 2021, full research paper, 1-11 (candidate of the best paper).

    J. Xu, H. Lu and R.H. Güting. Understanding human mobility: A multi-modal and intelligent moving objects database (vision paper), SSTD 2019, pages 222-225 (won the best vision paper).

    W. Wang and J. Xu. A Tool for 3D Visualizing Moving Objects, APWeb/WAIM, 2017, Demo, pages 353-357 (won the best demo paper).

    张旭，李璐，许建秋. TSQuality: 基于openGauss的时序数据异常检测和质量评估系统，NDBC, 系统论文, 2023(最佳系统演示论文奖).

    Journal and conference papers

    2023

    M.Liu and X. Wang and J. Xu and H. Lu. NALSpatial: An Effective Natural Language Transformation Framework for Queries over Spatial Data，ACM SIGSPATIAL, short paper, to appear, 2023.

    L.Li and X.Zhang and Y.Li and F.Pu and J. Xu and Z.Zhong. GaussTS: Towards a Time Series Data Management Module in openGauss，APWeb/WAIM, demo paper, to appear, 2023.

    M.Liu and X. Wang and J. Xu. NALSD: A Natural Language Interface for Spatial Databases，SSTD demo paper, 175-179, 2023.

    X. Wang and M.Liu and J. Xu and H. Lu. NALMO: Transforming Queries in Natural Language for Moving Objects Databases，GeoInformatica 27(3): 427-460 (2023) (an extension of the paper in SSTD 2021).

    L. Li and F. Pu and Y. Li and J. Xu. A Comparative Study of Row and Column Storage for Time Series Data., SpatialDI 2023: 223-238

    B. Wu and X. Jin and J. Xu. MOCache: A Cache Management Tool for Moving Object Databases, DASFAA, 2023 (4): 690-695

    J. Xu and R.C.W.Wong. Efficiently Answering Top-k Window Aggregate Queries: Calculating Coverage Number Sequences over Hierarchical Structures, ICDE 2023: 1300-1312

    J. Xu and Z.Bao and H. Lu. A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories, IEEE TKDE, 35(2):1119-1133, 2023.

    J. Xu and Z.Bao and H. Lu. A Query Optimizer for Range Queries over Multi-Attribute Trajectories, ACM Transactions on Intelligent Systems and Technology, 14(1):12:1-12:28, 2023.

    Shuai Xu, Jianqiu Xu, Bohan Li, Xiaoming Fu: Predicting Where You Visit in a Surrounding City: A Mobility Knowledge Transfer Framework Based on Cross-City Travelers. DASFAA (1) 2023: 334-350

    2022

    T. Sun and J. Xu and C. Hu. An Efficient Algorithm of Star Subgraph Queries on Urban Traffic Knowledge Graph, Data Science and Engineering, 7(4): 383-401, 2022.

    T. Li and J. Xu, Block-Join: A Partition-based Method for Efficiently Processing Spatio-Temporal Joins, APWeb/WAIM (3) 2022: 397-411.

    Y. Ding and J. Xu, RN-Cluster: A Novel Density-Based Clustering Approach for Road Network Partition, APWeb/WAIM (3) 2022: 412-419.

    C. Fang and F.Wang and B. Yao and J. Xu. GPSClean: A Framework for Cleaning and Repairing GPS Data, ACM Transactions on Intelligent Systems and Technology, 13(3): 40:1-40:22, 2022.

    2021

    S. Guo and J. Xu. Cost Prediction for Range Queries in Moving Object Databases，International Journal of Geo-Information, 10(7): 468, 2021.

    X. Wang and J. Xu and H. Lu. NALMO: A Natural Language Interface for Moving Objects Databases，SSTD 2021, full research paper, 1-11 (candidate of the best paper). data set

    C. Fang and J. Xu. GPSClean: An Embedded Tool for Cleaning GPS Data , MDM 2021, demo paper, pages 229-232.

    S. Song, J. Sun and J. Xu. ARCA: A Tool for Area Calculation based on GPS Data, DASFAA (3)2021, demo paper, pages 612-616.

    2020

    J. Xu, H. Lu and Z. Bao. IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects , Proc. VLDB Endow. 13(12): 2825-2828 (2020).

    X.Wang, J. Xu and Y.Wang. NLMO: Towards a Natural Language Tool for Querying Moving Objects, MDM 2020, demo paper, pages 228-229.

    2019

    J. Xu, H. Lu and R.H. Güting. Understanding human mobility: A multi-modal and intelligent moving objects database (vision paper), SSTD 2019, pages 222-225 (won the best vision paper).

    Liangjian Chen, Siyu Chen, Shengnan Guo and J. Xu. A Mobile Phone Data Visualization Tool for People Flow Analysis, APWeb/WAIM, demo, pages 407-411, 2019.

    J. Xu, R.H. Güting, Y.Zheng and O. Wolfson. Moving Objects with Transportation Modes: A Survey, Journal of Computer Science & Technology (JCST), 34(4):709-726, 2019.

    S. Chen, J. Xu and H. Zhang. Computing and Visualizing the Shortest Path between Moving Objects on Road Networks, IEEE MDM, demo, pages 353-354, 2019.

    J. Xu, Z. Bao and H. Lu. Continuous Range Queries over Multi-Attribute Trajectories, ICDE 2019, pages 1610-1613.

    2018

    X. Wei and J. Xu. MDBF: A Tool for Monitoring Database Files, ER, demo, 2018, pages 54-58.

    J. Xu, R.H. Güting and Y.Gao. Continuous k Nearest Neighbor Queries over Large Multi-Attribute Trajectories: A Systematic Approach, Geoinformatica, 22:4, page 723-766, 2018(Sample data: Beijing Bus, ShangHai Taxi)

    J. Xu, H. Lu and R.H. Güting. Range Queries on Multi-Attribute Trajectories, IEEE Transactions on Knowledge and Data Engineering, concise paper, 30:6 (2018), pages 1206-1211.

    2017

    J. Xu and J. Zhou. Detect tracking behavior among trajectory data, ADMA, 2017, Demo, pages 872-878.

    J. Xu and H. Lu Efficiently Answer Top-k Queries on Typed Intervals, Information Systems, 71:164-181, 2017. (Sample data: bus, taxi)

    J. Xu and R.H. Güting. Query and Animate Multi-attribute Trajectory Data, CIKM, 2017, Demo, pages 2551-2554, .

    J. Xu and J. Liang. A System for Querying and Displaying Typed Intervals, SSTD, 2017, demo, pages 440-445.

    W. Wang and J. Xu. A Tool for 3D Visualizing Moving Objects, APWeb/WAIM, 2017, Demo, pages 353-357 (won the best demo paper). (user manual: Manual)

    2016

    H.Zhang, F.Lu and J.Xu Modeling and Querying Moving Objects with Social Relationships, ISPRS Int. J. Geo-Information 5(7), 2016.

    J. Xu, H.Lu and B.Yao Indexing and Querying A Large Database of Typed Intervals, EDBT 2016, poster paper, pages 658-659.

    2015

    J. Xu, R.H. Güting and X. Qin. GMOBench: Benchmarking Generic Moving Objects, Geoinformatica, 19:2, Page 227-276, 2015 (an extension of the paper in ACM SIGSPATIAL 2012).

    J. Xu and R.H. Güting. Querying Visible Points in Large Obstructed Space, Geoinformatica, 19:3, Page 435-461, 2015.

    J. Xu, R.H. Güting and Y. Zheng. The TM-RTree: An Index on Generic Moving Objects for Range Queries, Geoinformatica, 19:3, Page 487-524, 2015.

    2013

    J. Xu and R.H. Güting. A Generic Data Model for Moving Objects, Geoinformatica, 17:1, page 125-172, Springer, 2013.

    2012

    J. Xu and R.H. Güting. GMOBench: A Benchmark for Generic Moving Objects, short paper, ACM SIGSPATIAL, 410-413, 2012.

    J. Xu and R.H. Güting. Manage and Query Generic Moving Objects in SECONDO, Demo, PVLDB 5(12):2002-2005, 2012. poster

    J. Xu and R.H. Güting. MWGen: A Mini World Generator, 13th International Conference on Mobile Data Management (IEEE MDM), pages 258-267, 2012. ppt

    2011

    J. Xu. Research on Moving Objects with Multimodal Transportation Modes, ACM SIGMOD/POSD IDAR, 2011.

    J. Xu and R.H. Güting. Infrastructures for Research on Multimodal Moving Objects, 12th International Conference on Mobile Data Management (IEEE MDM), Demo, pages 329-332, 2011.

    2010

    R.H. Güting, T. Behr, and J. Xu. Efficient k-Nearest Neighbor Search on Moving Object Trajectories, The VLDB Journal 19:5, 687-714, 2010.

    2009

    R.H. Güting, A. Braese, T. Behr, and J. Xu. Nearest Neighbor Search on Moving Object Trajectories in Secondo, SSTD, Demo, pages 427-431, 2009.

    2008

    Xu Jianqiu, Victor Teixeira de Almeida, Qin Xiaolin. An Efficient Technique for Distance Computation in Road Networks., ITNG, pages 888-893, 2008.

    Academic Services (pc members and reviewers)

  • 2016 (APWeb/WAIM)
  • 2017 (APWeb/WAIM Demo, CIKM case study/industry, ADMA demo)
  • 2018 (CIKM case study/industry, MDM, ER Demo, ACM SIGSPATIAL, ADMA Demo co-chair)
  • 2019 (DASFAA, MDM, KDD, APWeb/WAIM, BIGCOM, ACM SIGSPATIAL)
  • 2020 (ACM SIGSPATIAL, MDM, APWeb/WAIM, DASFAA, KDD, SpatialDI)
  • 2021 (DASFAA, KDD, SpatialDI, MDM, CIKM, ACM SIGSPATIAL，ACM SIGSPATIAL proceeding chair)
  • 2022 (DASFAA, SpatialDI, SDM, MDM, KDD, CIKM, ADMA, BigData, demo co-chair APWeb/WAIM, ACM SIGSPATIAL Senior PC)
  • 2023 (PC co-chair SpatialDI, DASFAA, MDM, KDD, BigData, APWeb/WAIM, ADMA, SSTD, CIKM, ACM SIGSPATIAL proceeding chair)
  • 2024 (PVLDB, DASFAA, SDM, MDM registration chair)
  • Geoinformatica, Pervasive and Mobile Computing Journal, TKDE, ACM TIST, Information Science, International Journal of Geographical Information Science, Distributed and Parallel Databases, JCST and Frontiers of Computer Science, ACM Transactions on Database Systems.