Short Bio
I am currently a Research Assistant Professor in JC STEM Lab on Data Science Foundations at the Hong Kong University of Science and Technology (HKUST), I obtained a PhD in Computer Science from the University of Queensland (UQ) under the supervision of Prof. Wen Hua, Prof. Lei Li, and Prof. Xiaofang Zhou. I have been working in the area of spatiotemporal and graph data management, especially on route planning in dynamic and multiple-constrained environments, along with the efficient indexing and query processing of discrete spatiotemporal data.
Research Interests
Spatiotemporal Data Management; Graph Algorithms; Machine learning
Recent Publications
Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, and Xiaofang Zhou. Approximate Skyline Index for Constrained Shortest Pathfinding with Theoretical Guarantee. [ICDE 2024]
Mengxuan Zhang, Xinjie Zhou, Lei Li, Ziyi Liu, Goce Trajcevski, Yan Huang, Xiaofang Zhou. A Universal Scheme for Partitioned Dynamic Shortest Path Index. [arXiv 2023]
Ziyi Liu, A study of multi-constraint shortest path queries in road network. [UQ Theses 2023](Dean's Award for Outstanding HDR Theses)
Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, and Xiaofang Zhou. FHL-Cube: Multi-Constraint Shortest Path Querying with Flexible Combination of Constraint. [VLDB 2022]
Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, and Xiaofang Zhou. Multi-Constraint Shortest Path using Forest Hop Labeling. [The VLDB Journal 2022]
Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Pingfu Chao, and Xiaofang Zhou. Efficient Constrained Shortest Path Query Answering with Forest Hop Labeling. [ICDE 2021]
Xuanyi Zhang*, Ziyi Liu*, Mengxuan Zhang, and Lei Li. An Experiment study on exact multi-constraint shortest path finding. [ADC 2021] (Best Student Paper)
Ziyi Liu, Meng Zhang. Analysing online platform users’ attitudes toward Internet of Things. [PACIS 2018]
Teaching
INFS2200/7903 Relational Database Systems
University of Queensland
Semester 2, 2022
INFS4205/7205 Advanced Techniques for High Dimensional Data
University of Queensland
Semester 1, 2020/2021
Patents
The Utility Model Relates to Data Collector for Water Seepage Monitoring by Direct Current Method.
PATENT NO: ZL201910482648.X
Electric Monitoring and Early Warning System for Water Infiltration of Culvert, Dike, and Slop.
PATENT NO: ZL201910482676.1
Electric Monitoring and Early Warning System for Water Infiltration of Culvert, Dike, and Slop.
PATENT NO: ZL201910483369.5
A Mobile and Pervasive Monitoring System for Adolescent Soccer Athletes.
PATENT NO: CN201910072198.7
Talks
Multi-Constraint Shortest Path Querying with Flexible Combination of Constraint
48th International Conference on Very Large Databases, Sydney, Australia, Sep 06, 2022
Efficient Multi-Constraint Shortest Path Query Processing in Road Network
Seminar, The University of Queensland, Aug 31, 2022
Efficient Constrained Shortest Path Query Answering with Forest Hop Labeling
37th IEEE International Conference on Data Engineering, Chania, Greece, Apr 22, 2021
Analysing online platform users’ attitudes toward Internet of Things
30th Pacific Asia Conference on Information Systems, Yokohama, Japan, Jun 28, 2018
Services
Reviewer
PACIS, VLDB, VLDBJ, ISCIT, ADC