Xiangxiang Meng

Title: Innovations of Xiangxiang Meng

Introduction

Xiangxiang Meng is an accomplished inventor based in Cary, NC (US). He has made significant contributions to the field of computing and data visualization, holding a total of 4 patents. His work focuses on enhancing data transformation systems and visualizing clustered datasets.

Latest Patents

Xiangxiang Meng's latest patents include a "Distributed data transformation system." This innovative computing system transforms variable values in a dataset using a transformation flow definition applied in parallel. The transformation flow definition indicates flow variables and transformation phases to apply to the flow variables. A computation is defined for each variable and for each transformation phase. A phase internal parameter value is computed for each defined computation from observation vectors read from the dataset. A current variable, a first variable value, a first transformation phase, the phase internal parameter value, and a current transformation phase are selected based on an observation vector read from the dataset. A result value is computed by executing the transformation function with the phase internal parameter value and the first variable value. The computed result value is output to a transformed input dataset. The process is repeated for each variable, transformation phase, and observation vector.

Another notable patent is related to "Techniques for visualizing clustered datasets." Various embodiments are directed to techniques for visualizing clustered datasets, utilizing multiple colors and color gradients to represent data from different clustered datasets. Some embodiments focus on using different colors associated with each cluster of data to visualize which cluster is dominant in each cell of a heat map. Additionally, color gradients may be used among different heat map cells of a common color that correspond to a common cluster to visualize data distributions within each cluster of data represented in the heat map. This innovative approach enables the identification of useful patterns and relationships among a collection of clustered datasets.

Career Highlights

Xiangxiang Meng is currently employed at SAS Institute Inc., where he continues to develop innovative solutions in data processing and visualization. His work has significantly impacted how data is transformed and visualized, making it easier for users to interpret complex datasets.

Collaborations

Xiangxiang has collaborated with notable colleagues, including Biruk Gebremariam and Rajendra Prasad Singh, contributing to various projects that enhance data analysis and visualization techniques.

Conclusion

Xiangxiang Meng's contributions to the field of data transformation and visualization are noteworthy. His innovative patents and ongoing