San Jose, CA, United States of America

Handong Zhao

USPTO Granted Patents = 25 

Average Co-Inventor Count = 5.7

ph-index = 3

Forward Citations = 24(Granted Patents)


Location History:

  • San Jose, CA (US) (2022 - 2024)
  • Cupertino, CA (US) (2024)

Company Filing History:


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

25 patents (USPTO):

Title: Handong Zhao: Innovator in Data Analytics and Feature Engineering

Introduction

Handong Zhao is a notable inventor based in San Jose, California, with an impressive portfolio of 21 patents. His work primarily focuses on advancing data analytics systems and feature engineering techniques. Through innovative approaches, he has been able to enhance how categorical feature data is processed, revealing intricate feature interactions that contribute to improved accuracy and efficiency in data management.

Latest Patents

Handong Zhao’s recent patents include groundbreaking innovations such as:

1. **Multi-task Equidistant Embedding** - This invention describes systems and techniques that process categorical feature data to explore feature interactions effectively. A digital analytics system is described that enforces an equidistant relationship among features within a category while extracting high-order feature interactions. The innovative approach simultaneously punishes both positive and negative correlations among low-dimensional representations of different features, ensuring that vital information is retained, thereby increasing accuracy. Additionally, this system facilitates knowledge sharing among different tasks by integrating a shared network representation, bridging exclusive network representations specific to particular tasks.

2. **Generating and Executing Automatic Suggestions to Modify Data of Ingested Data Collections** - This patent relates to systems and methods designed to generate automatic suggestions for effectively modifying the organization of ingested data collections without compromising the underlying raw data. Utilizing multiple machine learning models in sequence, the systems determine the likelihood of necessary modifications to an organizational structure. In response to these findings, the systems generate automatic suggestions that, once selected, allow for effective organizational modifications of the ingested data collections.

Career Highlights

Currently, Handong Zhao is a prominent professional at Adobe, Inc., where he leverages his extensive knowledge of data analytics and machine learning to contribute to innovative projects. His commitment to pushing the boundaries of technology has established him as an influential figure in the field.

Collaborations

Throughout his career, Handong Zhao has collaborated with highly regarded colleagues such as Zhe Lin and Sungchul Kim. These partnerships have fostered a rich exchange of ideas and methodologies, further driving innovation in their respective projects and research endeavors.

Conclusion

Handong Zhao exemplifies the spirit of innovation through his significant contributions in data analytics and machine learning. With an impressive number of patents and a collaborative approach to his work, he continues to play a vital role at Adobe, Inc., and in the broader field of technology. His ongoing efforts in refining feature interactions and enhancing data processing techniques hold great promise for the future.

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