Xiaogan, China

Zhiye Chen

This inventor holds 1 USPTO granted patent. Top assignee: Zoom Communications, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhiye Chen. Retrieved from https://idiyas.com/inventor/zhiye-chen-12um31aj

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

Calculating rank

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: Zhiye Chen and Low-Quality Audio Detection.

Introduction

Zhiye Chen is an inventor associated with Xiaogan, China, and Zoom Communications, Inc. His work includes a patent for detecting low-quality audio in video conferences. The available information lists 1 patent.

Latest Patents

Chen’s patent, “Low-Quality Audio Detection,” describes techniques for assessing audio quality during a video conference. A computing system receives an audio stream from a connected client device and uses a machine-learning model to determine one or more audio-quality measurements. It then calculates a metric and, when that metric meets a predetermined threshold, outputs a message indicating that the stream has low-quality audio.

Career Highlights

The listed invention addresses audio quality monitoring in video conferencing, helping identify problematic audio streams through automated analysis. Chen is associated with Zoom Communications, Inc.

Collaborations

The provided information names Yuhui Chen and Zhaofeng Jia as Chen’s coworkers. It does not specify their roles in the patent or describe particular collaborative work.

Conclusion

Zhiye Chen’s listed patent focuses on using machine learning to detect low-quality audio in video conferences, reflecting an effort to improve audio monitoring in 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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