Dr Lei Li

Postdoctoral Research Fellow

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology

Overview

Dr. Lei Li is a Postdoctoral Research Fellow at Data Science Group, University of Queensland, Australia, and a Data Scientist at Redback Technologies. He obtained his Ph.D. in September 2018 from Data and Knowledge Engineering (DKE) Group in the School of Information Technology and Electrical Engineering, the University of Queensland under Prof. Xiaofang Zhou's supervision. He obtained his Bachelor and Master degrees from Harbin Institute of Technology in 2012 and 2014, respectively. His research interests are spatial temporal data, trajectory data, graph and distributed database.

Qualifications

  • Doctor of Philosophy, The University of Queensland

Publications

View all Publications

Supervision

  • Master Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Book Chapter

  • Zhou, Xiaofang and Li, Lei (2018). Spatiotemporal Data: Trajectories. Encyclopedia of Big Data Technologies. (pp. 1-7) Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-63962-8_221-1

Journal Article

Conference Publication

  • Li, Lei, Zhang, Mengxuan, Hua, Wen and Zhou, Xiaofang (2020). Fast query decomposition for batch shortest path processing in road networks. International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde48307.2020.00107

  • Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2020). Typical snapshots selection for shortest path query in dynamic road networks. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-39469-1_9

  • Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2019). Batch processing of shortest path queries in road networks. 30th Australasian Database Conference, ADC 2019, Sydney, NSW, 29 January -1 February 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-12079-5_1

  • Zhang, Mengxuan, Li, Lei, Hua, Wen and Zhou, Xiaofang (2019). Efficient Batch Processing of Shortest Path Queries in Road Networks. 20th IEEE International Conference on Mobile Data Management (MDM), Hong Kong, Hong Kong, 10-13 June 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/mdm.2019.00-69

  • Li, Lei, Wang, Sibo and Zhou, Xiaofang (2019). Time-dependent hop labeling on road network. 2019 IEEE 35th International Conference on Data Engineering (ICDE), Macau SAR, China, 8-11 April 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde.2019.00085

  • Li, Lei, Zhou, Xiaofang and Zheng, Kevin (2016). Finding least on-road travel time on road network. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_11

  • Hosseini, Saeid and Li, Lei Thor (2016). Point-of-interest recommendation using temporal orientations of users and locations. 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, Dallas, United States, 16-19 April 2016. Springer Verlag. doi: 10.1007/978-3-319-32025-0_21

  • Li, Lei, Gao, Hong, Zhu, Mingrui and Zou, Zhaonian (2014). Multi-way Theta-Join Based on CMD Storage Method. 19th International Conference on Database Systems for Advanced Applications (DASFAA), Bali, Indonesia, 21-24 April 2014. Berlin, Germany: Springer. doi: 10.1007/978-3-319-05810-8_5

Other Outputs

PhD and MPhil Supervision

Current Supervision

  • Master Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors: