San Diego, CA, United States of America

Shizhong Steve Han

This inventor holds 6 USPTO granted patents and 6 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shizhong Steve Han. Retrieved from https://idiyas.com/inventor/shizhong-steve-han

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 6 

% Patents Active = 33.3

Average Co-Inventor Count = 5.2

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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6 patents (USPTO):Explore Patents

Title: Shizhong Steve Han: Innovator in Sparse-Aware Convolution

Introduction

Shizhong Steve Han is a prominent inventor based in San Diego, CA. He is known for his contributions to the field of convolution techniques, particularly in the context of sparse-aware convolution. His innovative work has led to advancements in data processing and machine learning applications.

Latest Patents

Shizhong Steve Han holds a patent titled "Sparse-aware convolution and techniques for acceleration thereof." This patent focuses on techniques for performing tabular convolution. It includes a tabularization operation on input data to generate a tabularized representation, followed by a convolution operation to produce a convolution output. He has 1 patent to his name.

Career Highlights

Shizhong Steve Han is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and semiconductor technology. His work at Qualcomm has positioned him as a key player in the development of advanced convolution techniques.

Collaborations

Shizhong has collaborated with notable colleagues, including Jamie Menjay Lin and Fatih Murat Porikli. These collaborations have further enhanced the impact of his research and innovations in the field.

Conclusion

Shizhong Steve Han's contributions to sparse-aware convolution techniques exemplify his commitment to innovation in technology. His work continues to influence advancements in data processing and machine learning.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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