Min Xiao

Title: Innovations by Min Xiao

Introduction

Min Xiao is an accomplished inventor based in Caldwell, NJ, known for his significant contributions to the field of technology and data analysis. With a total of five patents to his name, he has developed innovative methods that enhance customer demand prediction and employee job level determination.

Latest Patents

One of Min Xiao's latest patents is titled "Multi-task deep learning of customer demand." This method provides a way to predict changes in customer demand by collecting subscription data for various customers at specified time intervals. It determines any changes in customer bundle subscriptions and metrics for defined customer tasks during these intervals. The approach utilizes multimodal multi-task learning to model both subscription change events and time-to-event for each bundle subscription change, allowing for accurate predictions based on customer service activities.

Another notable patent is "Job level prediction," which outlines a method, computer system, and computer program product for determining the job levels of employees within an organization. This system identifies employee data and determines whether an employee is a manager or a non-manager. It applies specific models to ascertain the job level based on the employee's classification, thereby streamlining the evaluation process within organizations.

Career Highlights

Min Xiao is currently employed at ADP, Inc., where he continues to innovate and contribute to advancements in technology. His work focuses on leveraging data to improve business processes and enhance customer experiences.

Collaborations

Min has collaborated with notable coworkers, including Xiaojing Wang and Dmitry Alexandrovich Tolstonogov, who share his commitment to innovation and excellence in their respective fields.

Conclusion

Min Xiao's innovative patents and contributions to technology demonstrate his expertise and dedication to improving business processes through data-driven solutions. His work continues to influence the industry and pave the way for future advancements.