Zhankui He

Title: Innovations of Zhankui He in Digital Content Search Technologies

Introduction

Zhankui He is a notable inventor based in San Diego, California. He has made significant contributions to the field of digital content search technologies, holding three patents that showcase his innovative approach to overcoming challenges in conventional search techniques.

Latest Patents

Zhankui He's latest patents include "Digital content query-aware sequential search" and "Locally constrained self-attentive sequential recommendation." The first patent describes digital content search techniques that utilize a query-aware sequential search to enhance the effectiveness of conventional sequence-based methods. This involves receiving a search query and obtaining sequence input data that describes a sequence of digital content along with respective search queries. The process generates embedding data using a machine-learning model, ultimately producing search results that reference relevant digital content.

The second patent focuses on digital content search techniques incorporated into a multi-head self-attention module of a transformer using machine learning. This innovation includes a localized self-attention module that applies local constraints to the sequence, utilizing various model-based and masking-based local encoders to improve search accuracy and efficiency.

Career Highlights

Zhankui He is currently employed at Adobe Inc., where he continues to develop and refine his innovative ideas in digital content search technologies. His work at Adobe has allowed him to collaborate with other talented professionals in the field, further enhancing the impact of his inventions.

Collaborations

Some of Zhankui He's notable coworkers include Handong Zhao and Zhaowen Wang. Their collaborative efforts contribute to the advancement of digital content search technologies and the overall success of their projects.

Conclusion

Zhankui He is a prominent inventor whose work in digital content search technologies has led to significant advancements in the field. His innovative patents reflect his commitment to improving search techniques and enhancing user experience in digital content retrieval.