Quan Xu

Title: Innovations of Quan Xu in Data Visualization Analysis

Introduction

Quan Xu is an accomplished inventor based in Shenyang, China. He has made significant contributions to the field of data visualization analysis through his innovative methods. His work focuses on enhancing the efficiency and accuracy of data interpretation.

Latest Patents

Quan Xu holds a patent for a "Visualized time sequence pattern matching method for data visualization analysis based on Hough transformation." This invention provides a visualized time sequence pattern matching method that relates to the technical field of data visualization analysis. The method involves several steps, including determining whether the historical data to be matched is one-dimensional or multi-dimensional time sequence data. If the data is multi-dimensional, normalization processing is performed. The method also includes selecting a time sequence to be matched from historical data, converting the time sequence image to Hough space, and judging the similarity matching situation through a voting mechanism. Finally, the results are screened based on the voting outcomes.

Career Highlights

Quan Xu is affiliated with Northeastern University, where he continues to advance his research and development in data visualization techniques. His work has garnered attention for its practical applications in various industries.

Collaborations

Quan has collaborated with notable colleagues, including Meirong Xu and Xiaoran Yu, who share his passion for innovation in data analysis.

Conclusion

Quan Xu's contributions to data visualization analysis exemplify the impact of innovative thinking in technology. His patented methods are paving the way for more effective data interpretation and analysis.