Chengdu, China

Yezheng Hu

This inventor holds 1 USPTO granted patent. Top assignee: Southwest Petroleum University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yezheng Hu. Retrieved from https://idiyas.com/inventor/yezheng-hu

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yezheng Hu and Surface-Wave Imaging Innovation.

Introduction. Yezheng Hu is an inventor associated with Southwest Petroleum University in Chengdu, China. His patent work addresses methods for imaging the dispersion energy spectrum of surface waves.

Latest Patents. Hu is named on one patent: “Imaging Methods for Dispersion Energy Spectrums of Surface Waves, Electronic Devices, and Storage Media.” The disclosed method obtains surface-wave data in the space-time domain, processes it into a space-frequency representation, and applies a preset algorithm to produce an imaging result in the slowness-frequency domain. The patent also describes implementations using electronic devices and storage media. Hu is associated with 1 patent.

Career Highlights. Hu’s documented patent contribution focuses on processing surface-wave data and generating dispersion-energy-spectrum imaging results. This work connects signal representation and algorithmic processing in a method intended for use with electronic devices and storage media.

Collaborations. Hu’s listed coworkers include Weiping Cao and Luo Li. The provided information does not specify their roles or the details of their collaboration.

Conclusion. Yezheng Hu’s patent activity, associated with Southwest Petroleum University in Chengdu, centers on a surface-wave imaging method that transforms data across domains to produce slowness-frequency results.

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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