Mountain View, CA, United States of America

Jianxiang Chang


Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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5 patents (USPTO):Explore Patents

Title: Innovations of Jianxiang Chang

Introduction

Jianxiang Chang is a notable inventor based in Mountain View, CA, who has made significant contributions to the field of machine learning. With a total of five patents to his name, he has developed innovative systems and methods that enhance the capabilities of machine learning technologies.

Latest Patents

One of Jianxiang Chang's latest patents is titled "Feature pruning and algorithm selection for machine learning." This invention provides systems, methods, and apparatuses for machine learning. In some implementations, a pre-processing system identifies special features in an input dataset and generates pruned datasets based on these features. The system maps each pruned dataset to predictions and selectively removes values associated with special features from the input dataset based on the mapping. In other implementations, the pre-processing system maps feature sets in an input dataset to multiple predictions according to various machine learning algorithms. It evaluates the performance of each mapping and selects the most effective algorithm for training the machine learning model.

Another significant patent is "Large pose facial recognition based on 3D facial model." This method involves generating a captured facial object and pose from an image. It also includes obtaining a base facial object and pose from a base image. The method generates base pose angles and captured pose angles, selects base images using these angles, and compares selected base images to captured images to establish a match output.

Career Highlights

Jianxiang Chang is currently employed at Intuit, Inc., where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing machine learning applications, which are increasingly vital in various industries.

Collaborations

Some of Jianxiang Chang's notable coworkers include Yan Qu and Srividya Narayanan, who collaborate with him on various projects and innovations.

Conclusion

Jianxiang Chang's contributions to machine learning through his patents demonstrate his expertise and commitment to advancing technology. His innovative approaches are paving the way for future developments in the field.

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