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 G¨¹ting (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
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.
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).
J. Xu and Z.Bao and H. Lu. A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories, TKDE, to appear, 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).
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, to appear.
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.
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.
J. Xu, H. Lu and R.H. G¨¹ting. 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. G¨¹ting, 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.
X. Wei and J. Xu. MDBF: A Tool for Monitoring Database Files, ER, demo, 2018, pages 54-58.
J. Xu, R.H. G¨¹ting 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. G¨¹ting. Range Queries on Multi-Attribute Trajectories, IEEE Transactions on Knowledge and Data Engineering, concise paper, 30:6 (2018), pages 1206-1211.
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. G¨¹ting. 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)
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.
J. Xu, R.H. G¨¹ting 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. G¨¹ting. Querying Visible Points in Large Obstructed Space, Geoinformatica, 19:3, Page 435-461, 2015.
J. Xu, R.H. G¨¹ting and Y. Zheng. The TM-RTree: An Index on Generic Moving Objects for Range Queries, Geoinformatica, 19:3, Page 487-524, 2015.
J. Xu and R.H. G¨¹ting. A Generic Data Model for Moving Objects, Geoinformatica, 17:1, page 125-172, Springer, 2013.
J. Xu and R.H. G¨¹ting. GMOBench: A Benchmark for Generic Moving Objects, short paper, ACM SIGSPATIAL, 410-413, 2012.
J. Xu and R.H. G¨¹ting. Manage and Query Generic Moving Objects in SECONDO, Demo, PVLDB 5(12):2002-2005, 2012. poster
J. Xu and R.H. G¨¹ting. MWGen: A Mini World Generator, 13th International Conference on Mobile Data Management (IEEE MDM), pages 258-267, 2012. ppt
J. Xu. Research on Moving Objects with Multimodal Transportation Modes, ACM SIGMOD/POSD IDAR, 2011.
J. Xu and R.H. G¨¹ting. Infrastructures for Research on Multimodal Moving Objects, 12th International Conference on Mobile Data Management (IEEE MDM), Demo, pages 329-332, 2011.
R.H. G¨¹ting, T. Behr, and J. Xu. Efficient k-Nearest Neighbor Search on Moving Object Trajectories, The VLDB Journal 19:5, 687-714, 2010.
R.H. G¨¹ting, A. Braese, T. Behr, and J. Xu. Nearest Neighbor Search on Moving Object Trajectories in Secondo, SSTD, Demo, pages 427-431, 2009.
Xu Jianqiu, Victor Teixeira de Almeida, Qin Xiaolin. An Efficient Technique for Distance Computation in Road Networks., ITNG, pages 888-893, 2008.