Jiazhong Zhang

ORCID: 0000-0002-0138-6668
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About
Contact & Profiles
Research Areas
  • Complex Network Analysis Techniques
  • Robotics and Sensor-Based Localization
  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Distributed Control Multi-Agent Systems
  • Software-Defined Networks and 5G
  • Robotic Path Planning Algorithms
  • Graph theory and applications
  • Indoor and Outdoor Localization Technologies
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Gene Regulatory Network Analysis
  • Network Security and Intrusion Detection

Shenzhen University
2023-2024

Sun Yat-sen University
2022-2024

As a key technology of autonomous driving, the high-precision vehicle localization is prerequisite for automatic steer. With advantage accuracy and robustness, Light Detection Ranging (LiDAR) widely employed in Simultaneous Localization Mapping (SLAM), which has been utilized to provide reliable positioning information. Compared with experimental vehicles restricted laboratory driving circumstances, are devoted actual roads contain complicated activities, where closed loops can be noticed....

10.1109/tits.2023.3307439 article EN IEEE Transactions on Intelligent Transportation Systems 2023-08-30

Purpose The light detection and ranging sensor has been widely deployed in the area of simultaneous localization mapping (SLAM) for its remarkable accuracy, but obvious drift phenomenon large accumulated error are inevitable when using SLAM. purpose this study is to alleviate process mapping. Design/methodology/approach A novel SLAM system introduced based on Normal Distributions Transform dynamic Scan Context with switch. pose-graph optimization used as back-end module. loop closure only...

10.1108/ir-07-2023-0145 article EN Industrial Robot the international journal of robotics research and application 2023-09-18

The influence maximization problem is one of the hot research topics in field complex networks recent years. so-called how to select seed set that propagates largest amount information on a given network. In practical applications, are often exposed complicated environments, and both link-specific node-specific attacks can have significant impact network’s propagation performance. Several pilot studies revealed crux robust problem, but current work available not comprehensive. On hand,...

10.3233/jifs-233222 article EN Journal of Intelligent & Fuzzy Systems 2024-01-05

In recent years, one of the prominent research areas in complex network field has been Influence Maximization Problem. This problem focuses on selecting seed sets to achieve optimal information propagation across networks. Practical networks often encounter challenges like node or link failures due internal issues external disturbances. Addressing this, researchers emphasize robustness against potential interferences, framing it as robust influence maximisation problem. However, current...

10.1080/09540091.2023.2275534 article EN cc-by Connection Science 2023-11-16
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