La Puente, CA, United States of America

Ying Hai Chen

This inventor holds 304 USPTO granted patents, primarily in Video Coding Technology (CPC class H04N19-70). Top assignees: Qualcomm Incorporated, Nokia Corporation, Nokia Technologies Oy. Active years: 2002-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ying Hai Chen. Retrieved from https://idiyas.com/inventor/ying-hai-chen

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


% Patents Active = 83.2

Average Co-Inventor Count = 2.8

ph-index = 29

Forward Citations = 3,337(Granted Patents)

Forward Citations (Not Self Cited) = 3,032(Dec 10, 2025)


Inventors with similar research interests:

🔬 See more inventors

Location History:

  • Guilin, CN (2002)
  • Vero Beach, FL (US) (2003)
  • Brevard, NC (US) (2006 - 2009)
  • La Puente, CA (US) (2017)
  • Tampere, FI (2012 - 2018)
  • Gainesville, FL (US) (2018)
  • Richmond, CA (2020)
  • Arlington, MA (US) (2013 - 2021)
  • Newton, MA (US) (2021)
  • Xi'an, CN (2022)
  • San Diego, CA (US) (2012 - 2023)
  • Sunnyvale, CA (US) (2023)

Company Filing History:


Years Active: 2002-2023

Loading Chart...
Areas of Expertise:
Video Coding
Low-Latency Streaming
Depth Map Prediction
Object Recognition
Multiview Coding
Motion Vector Prediction
Video Analytics
3D Video Coding
Signal Processing
Image Compression
Defogging Techniques
Edge Computing
304 patents (USPTO):Explore Patents

Title: Ying Chen: Pioneering Innovator with 293 Patents

Introduction:

In the world of technology and innovation, individuals like Ying Chen stand out as exceptional contributors. Hailing from San Diego, CA, Chen has made a name for himself in the field of low-latency streaming and video coding. With an impressive portfolio of 293 patents, he has been instrumental in shaping the way we consume media and optimize its delivery.

Latest Patents:

One of Chen's recent patents includes an enhanced block-request streaming system for handling low-latency streaming. This system allows for the seamless streaming of media presentations with minimal delays. By utilizing a combination of media segments, media fragments, and random access points, Chen's innovation has significantly improved the user experience when it comes to streaming content.

Another notable patent of Chen's focuses on signaling picture size in video coding. By determining the appropriate picture size for video sequences, he has created a video encoder that optimizes the coding unit size for each picture. This allows for more efficient video decoding and storage, resulting in improved overall video quality.

Career Highlights:

Chen's contributions to the field of technology span across various renowned companies. He has worked with Qualcomm Incorporated, a leading semiconductor and telecommunications equipment company, where his expertise in low-latency streaming has been invaluable. Additionally, his association with Nokia Corporation, a global leader in network-driven technology, further highlights his commitment to innovation and cutting-edge solutions.

Collaborations:

Throughout his career, Chen has collaborated with esteemed professionals in the field. Marta Karczewicz and Ye-Kui Wang are two of his notable coworkers. Karczewicz, a renowned video coding expert, has worked closely with Chen, contributing to the advancement of video coding technologies. Wang, another accomplished technology professional, has shared his expertise, resulting in a fruitful collaboration that has pushed the boundaries of video streaming and encoding.

Conclusion:

Ying Chen's accomplishments as an innovator and inventor are truly remarkable. With his expertise in low-latency streaming and video coding, coupled with his extensive patent portfolio, he has made a significant impact in the industry. Through his collaboration with industry giants like Qualcomm Incorporated and Nokia Corporation, Chen's work continues to shape the way we consume and experience media. His contributions have undoubtedly paved the way for future advancements in streaming technologies, ensuring a smoother and more efficient media consumption experience for generations to come.

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]
Loading…