La Jolla, CA, United States of America

Liwen Wu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Adobe, Inc., University of California. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Liwen Wu. Retrieved from https://idiyas.com/inventor/liwen-wu-knx0qpke

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Liwen Wu - Innovator in Light Direction Systems

Introduction

Liwen Wu is an inventive mind based in La Jolla, California. She has made significant strides in the field of neural materials and light direction systems. Her innovative approach focuses on enhancing the understanding of how light interacts with neural materials.

Latest Patent Applications

Liwen Wu's notable patent application is titled "SAMPLING LIGHT DIRECTIONS ON NEURAL MATERIALS." In this application, she describes a computing device that implements a light direction system to receive neural features of a material and an indication of a view direction toward the material. The system utilizes a mixture of analytical lobes, a normalizing flow, or a histogram prediction to predict a probability density function (PDF). Subsequently, the light direction system samples the PDF, calculates prominence values for each of a plurality of candidate light directions based on the PDF, and determines a light direction based on the prominence values.

Conclusion

Liwen Wu's contributions to the field of light direction systems demonstrate her innovative spirit and commitment to advancing technology. Her work has the potential to impact various applications in neural materials and beyond.

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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