Houston, TX, United States of America

Chen Luo

This inventor holds 2 USPTO granted patents. Top assignees: Nec Corporation, Seoul National University, William Marsh Rice University. Active years: 2019-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chen Luo. Retrieved from https://idiyas.com/inventor/chen-luo-zpriehmy

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Chen Luo: Innovator in Camera-Based Positioning and Knowledge Transfer Systems

Introduction

Chen Luo is a prominent inventor based in Houston, TX (US), known for his contributions to innovative technologies in mobile positioning and knowledge transfer systems. With a total of 2 patents, he has made significant strides in enhancing computational efficiency and privacy in mobile applications.

Latest Patents

One of Chen Luo's latest patents is a camera-based positioning system that utilizes machine learning for indoor mobile positioning. This system is designed to operate with inexact computing, allowing for a reduction in accuracy that leads to substantial computational efficiency. The innovative approach enables positioning without the need for communication with external devices or cloud services, thereby ensuring privacy and security. Additionally, a hashing-based image matching algorithm is employed, which is more energy-efficient and computationally cost-effective compared to existing techniques. This allows for end-to-end computation to be performed locally on mobile devices, eliminating the need for cloud interaction.

Another notable patent is a knowledge transfer system aimed at accelerating invariant network learning. This method involves generating an invariant network from data streams, which represents an enterprise information network with multiple nodes. The process includes employing a multi-relational based entity estimation model to transfer entities between domain graphs while filtering out irrelevant entities. By constructing unbiased dependencies, the system generates a target invariant network that can be displayed on a user interface.

Career Highlights

Chen Luo has worked with notable organizations such as NEC Corporation and William Marsh Rice University. His experience in these institutions has contributed to his expertise in developing advanced technological solutions.

Collaborations

Throughout his career, Chen has collaborated with talented individuals, including Zhengzhang Chen and LuAn Tang. These partnerships have fostered innovation and the development of cutting-edge technologies.

Conclusion

Chen Luo's work in camera-based positioning systems and knowledge transfer methods showcases his commitment to advancing technology while prioritizing privacy and efficiency. His contributions continue to influence the field of mobile applications and network 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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