Shanghai, China

Wen Liang Qi

This inventor holds 1 USPTO granted patent. Top assignee: Nokia Solutions and Networks Oy. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wen Liang Qi. Retrieved from https://idiyas.com/inventor/wen-liang-qi

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Wen Liang Qi

Introduction

Wen Liang Qi is a notable inventor based in Shanghai, China. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the capabilities of signal processing in receivers.

Latest Patents

Wen Liang Qi holds a patent for an "Apparatus and method for deprecoding a signal for a machine learning model." This invention provides an apparatus for a receiver that includes means for receiving an input signal based on a frequency domain signal. It also features means for performing deprecoding on the received input signal and means for providing the deprecoded signal as input for a machine learning model. The output of this model is a likelihood ratio. This patent showcases his expertise in integrating machine learning with signal processing.

Career Highlights

Wen Liang Qi is currently employed at Nokia Solutions and Networks Oy, where he continues to develop innovative technologies. His work at Nokia emphasizes the importance of advanced signal processing techniques in modern communication systems.

Collaborations

Wen Liang Qi has collaborated with talented individuals such as Chenhui Ye and Dani Johannes Korpi. These collaborations have further enriched his work and contributed to the advancement of technology in his field.

Conclusion

Wen Liang Qi's contributions to the field of machine learning and signal processing are noteworthy. His innovative patent reflects his commitment to advancing technology and improving communication systems.

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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