Prof. Jianliang Xu
Hong Kong Baptist University
Local Talk 2: Towards Large-Scale Spatiotemporal Kernel Density Visualization
Speaker: Jianliang Xu (Hong Kong Baptist University)
Time: 03:00 pm - 03:30 pm
Abstract: Kernel Density Visualization (KDV) is a widely used technique in disciplines such as geography, crime science, transportation science, and ecology for analyzing geospatial data. However, the scalability of KDV methods has become a concern due to limitations in existing software tools when dealing with massive geospatial datasets and generating high-resolution KDVs. In this talk, we will discuss the challenges associated with scalability in KDV and present our recent efforts in developing efficient algorithms to address these challenges.
Bigography: Jianliang Xu is the Head and Chair Professor of the Department of Computer Science at Hong Kong Baptist University. His current research interests include big data management, data security & privacy, and blockchain technology. With an h-index of 56, he has published more than 250 technical papers in these areas, most of which have appeared in leading journals and conferences, including SIGMOD, PVLDB, ICDE, TKDE, and VLDBJ. He is listed among the world's top 2% scientists by Stanford University. He has served as a Program Committee Co-Chair for a number of international conferences and as an Associate Editor for several top-tier international journals including TKDE and PVLDB. More details can be found at: https://www.comp.hkbu.edu.hk/~xujl/.