Company Filing History:
Years Active: 2024-2025
Title: Innovator Xianghui Mao: Pioneering Advances in Prediction Networks
Introduction
Xianghui Mao, an accomplished inventor based in Beijing, China, has made significant contributions to the field of prediction networks. With a remarkable portfolio of two patents, Mao is recognized for his innovative approaches that enhance the efficiency and accuracy of predictive modeling.
Latest Patents
Mao's most recent patents include groundbreaking methodologies that improve the functionality of prediction networks:
1. **Masked Model Training of a Prediction Network**: This patent describes a method that processes a sequence of inputs through a sub-model within a larger main model. The technique involves masking an input in the sequence to create a new set of inputs, which is then used to generate features and outputs that enhance the model's predictive capabilities.
2. **Reweighting Network for Subsidiary Features in a Prediction Network**: In this invention, Mao outlines a process to generate weights for subsidiary features associated with main features. By employing relationships within the data, this method optimizes the output for main features, providing deeper insights and refining predictive accuracy.
Career Highlights
Currently working with Hulu, LLC, Xianghui Mao has positioned himself at the forefront of innovation in technology. His work is characterized by a focus on artificial intelligence and machine learning, particularly in the realm of predictive analytics.
Collaborations
Throughout his career, Mao has collaborated with talented professionals, including coworkers Pengyu Zhao and Chunxu Xu. These collaborations have fostered a creative environment that encourages idea exchange and the development of novel technological solutions.
Conclusion
Xianghui Mao is a notable figure in the landscape of modern technology, with his patents reflecting a commitment to advancing predictive modeling. His work not only supports the evolution of complex data processing but also sets the stage for future breakthroughs in artificial intelligence and related fields.