This inventor holds 1 USPTO granted patent. Top assignee: Wuhan University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ruixiang Liu: Innovator in Artificial Intelligence Geospatial Data Analysis
Introduction
Ruixiang Liu is a prominent inventor based in Hubei, China. He has made significant contributions to the field of data analysis and services, particularly through his innovative work involving artificial intelligence and geospatial data.
Latest Patents
Ruixiang Liu holds a patent for an "Online inference method, service system, and device based on an artificial intelligence geospatial data cube." This patent addresses the challenges in data analysis by constructing a cube organizational model based on a spatiotemporal grid. The cube effectively organizes and manages geospatial data and GeoAI models in a unified manner. The method includes task-oriented model matching through explicit and implicit matching techniques. Explicit matching converts user inference requests into multidimensional query conditions to retrieve candidate models, while implicit matching computes feature similarity between inference data tiles and candidate models to determine the optimal model. The patent aims to enhance inference accuracy and speed in multi-scenario or large-scale spatial applications.
Career Highlights
Ruixiang Liu is affiliated with Wuhan University, where he continues to advance research in artificial intelligence and geospatial data analysis. His work has garnered attention for its innovative approach to solving complex data challenges.
Collaborations
Ruixiang Liu collaborates with notable colleagues, including Peng Yue and Kaixuan Wang, contributing to a dynamic research environment focused on cutting-edge technology.
Conclusion
Ruixiang Liu's contributions to artificial intelligence and geospatial data analysis exemplify the innovative spirit of modern inventors. His patent reflects a significant advancement in the field, addressing critical challenges in data inference.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
