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For the Inventor, By the Inventor

San Diego, CA, United States of America

Han Gao

This inventor holds 137 USPTO granted patents and 81 published patent applications, primarily in Video Coding (CPC class H04N19-176). Top assignees: Tencent America LLC, Beijing Dajia Internet Information Technology Co., Ltd., Beijing Dajia Internet Information Technology Co., Ltd.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Han Gao. Retrieved from https://idiyas.com/inventor/han-gao-hza29bz7

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

USPTO Granted Patents = 137 

% Patents Active = 100.0

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Inventors with similar research interests:

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Location History:

  • San Diego, CA (US) (2024)
  • Palo Alto, CA (US) (2024)

Company Filing History:

goldMedal124 out of 2,159 
 
Tencent America LLC
 patents
silverMedal12 out of 97 
 
Beijing Dajia Internet Information Technology Co., Ltd.
 patents
bronzeMedal1 out of 390 
 
Beijing Dajia Internet Information Technology Co., Ltd.
 patents

Years Active: 2024-2026

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Areas of Expertise:
Adaptive Weighting
Motion Vector Prediction
Multi-View Coding
Block Partitioning
Frame Interpolation
Chroma Mode Coding
Quantization Parameters
Geometric Partitioning
Intra Mode Derivation
Cross Component Prediction
Wedge-Based Prediction
Filter Classifiers
137 patents (USPTO):Explore Patents
1. 12771849 - Systems and methods for decoder-side motion vector refinement subsampling (2026-10-20),
2. 12771840 - Methods and systems for signaling and performing secondary transforms (2026-10-20),
3. 12771821 - Multi-hypothesis cross component prediction models (2026-10-20),
4. 12764284 - Systems and methods for enhanced semi decoupled partitioning (2026-10-13),
5. 12756859 - Affine motion vector predictor and affine merged motion vector by using lookahead/lookbehind motion vector (2026-10-06),
6. 12756843 - Implicit sub-pel position derivation for template matching-based intra prediction (2026-10-06),
7. 12750533 - Systems and methods for blending block sections in a partition-based prediction mode (2026-09-29),
8. 12744930 - Inter prediction mode dependent scaling factors (2026-09-22),
9. 12744923 - Implicit masked blending mode improvement combined with weighted prediction (2026-09-22),
10. 12744883 - Subblock based motion vector predictor displacement vector reordering using template matching (2026-09-22),
11. 12739422 - Method and apparatus for warp sample selection and grouping (2026-09-15),
12. 12726613 - Multiple lists for blocked based weighting factors (2026-09-01),
13. 12720118 - Nonlocal loop filter for video coding (2026-08-25),
14. 12720042 - Planar mode improvement for intra prediction (2026-08-25),
15. 12713037 - Overlapped Optical Flow-Based Motion Vector Refinement with Adaptive Subblock Size (2026-08-18),

Title: Han GAO - Pioneering Inventor from San Diego

Introduction: Han GAO is a distinguished inventor based in San Diego, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Han GAO holds several patents in the areas of artificial intelligence, robotics, and renewable energy, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Han GAO has worked with leading tech companies and research institutions, playing a key role in developing cutting-edge solutions that have revolutionized industries.

Collaborations: Throughout his career, Han GAO has collaborated with top scientists, engineers, and researchers, fostering a culture of innovation and knowledge sharing that has led to significant advancements in the tech sector.

Conclusion: Han GAO's passion for innovation and his relentless pursuit of excellence have solidified his reputation as a visionary inventor, shaping the future of technology and inspiring the next generation of inventors.

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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