Xin Xu

Title: Innovations of Inventor Xin Xu

Introduction

Xin Xu is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of machine learning and task management through his innovative patents. With a total of two patents to his name, Xu continues to push the boundaries of technology and its applications.

Latest Patents

One of Xin Xu's latest patents is titled "System and method for generating scores for predicting probabilities of task completion." This invention describes systems and methods for training machine learning models to generate real-time scores that predict the probabilities of task completion. The method involves receiving a set of features and a workflow for training ML models, retrieving training data, and segmenting it into different segments. The trained ML models are then used to generate probability scores displayed to users in real-time.

Another significant patent is the "Method for estimating the amount of task objects required to reach target completed tasks." This system creates a suggested task set to meet a specified target value. A cloud server retrieves completed task sets from a database and derives ratios for each task category. Based on these ratios and the target value, the cloud server constructs and displays a suggested task set in real-time, alerting users of any discrepancies.

Career Highlights

Xin Xu is currently employed at Clari Inc., where he applies his expertise in machine learning and task management. His work focuses on developing innovative solutions that enhance productivity and efficiency in various workflows.

Collaborations

Some of Xin Xu's coworkers include Venkat Rangan and Chunyue Du, who contribute to the collaborative environment at Clari Inc. Their combined efforts foster innovation and drive advancements in technology.

Conclusion

Xin Xu's contributions to the field of machine learning and task management through his patents demonstrate his commitment to innovation. His work at Clari Inc. continues to influence the way tasks are managed and completed in real-time.