Location History:
- Sunnyvale, CA (US) (2021)
- Santa Clara, CA (US) (2022)
Company Filing History:
Years Active: 2021-2022
Title: Innovations by Xiaojing Dong
Introduction
Xiaojing Dong is a prominent inventor based in Santa Clara, CA (US). She has made significant contributions to the field of digital predictions and content control. With a total of 2 patents, her work showcases innovative methodologies that enhance forecasting and data management.
Latest Patents
Xiaojing Dong's latest patents include groundbreaking technologies. One patent focuses on utilizing joint-probabilistic ensemble forecasting to generate improved digital predictions. This patent describes methods, systems, and computer-readable storage media for generating joint-probabilistic ensemble forecasts for future events based on various prediction models. The system determines error values for different predictions and generates an error probability density function to enhance future event predictions.
Another patent involves Dynamic Hierarchical Empirical Bayes techniques for controlling the output of digital content. This system identifies splitting variables in data and determines the loss for each variable using a loss function. The system then selects the splitting variable that minimizes cost to partition data effectively, creating a hierarchical structure for statistical modeling.
Career Highlights
Xiaojing Dong is currently employed at Adobe, Inc., where she applies her expertise in digital content and predictive modeling. Her innovative approaches have positioned her as a key player in her field, contributing to advancements in technology and data analysis.
Collaborations
Xiaojing has collaborated with notable colleagues, including Zhenyu Yan and Eugene Youjun Chen. These partnerships have fostered a collaborative environment that enhances the development of innovative solutions.
Conclusion
Xiaojing Dong's contributions to the fields of digital predictions and content control exemplify her innovative spirit and dedication to advancing technology. Her patents reflect a commitment to improving forecasting methods and data management systems.