Company Filing History:
Years Active: 2023
Title: Innovations by Xiaoxu Meng in Data Compression
Introduction
Xiaoxu Meng is an accomplished inventor based in Mountain View, CA (US). She has made significant contributions to the field of data compression, particularly in the context of triangular mesh attributes. Her innovative approach has the potential to enhance the efficiency of data transmission in various applications.
Latest Patents
Xiaoxu Meng holds a patent for "Efficient compression of data representing triangular mesh attributes." This patent involves techniques for compressing triangular mesh data by generating a neighborhood table that represents the neighborhood of a predicted vertex of a triangle within a triangular mesh. The method utilizes a machine-learning engine to predict vertex values, allowing for the compression and transmission of residual data over a network. Upon receipt, the data can be decompressed by a computer, enabling the retrieval of actual vertex values.
Career Highlights
Xiaoxu Meng is currently employed at Google Inc., where she continues to work on innovative solutions in data processing and machine learning. Her expertise in these areas has positioned her as a valuable asset to her team and the broader tech community.
Collaborations
Xiaoxu has collaborated with notable colleagues, including Igor Vytyaz and Ondrej Stava. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Xiaoxu Meng's contributions to data compression and machine learning exemplify the impact of innovative thinking in technology. Her work not only advances the field but also sets the stage for future developments in efficient data transmission.