Changliang Wang

This inventor holds 68 USPTO granted patents and 29 published patent applications and 3 EPO patents, primarily in Graphics Processing (CPC class H04N). Top assignees: Intel Corporation, Other. Active years: 2014-2026.

USPTO Granted Patents = 68 (Patent Applications = 29)

% Patents Active = 89.7

EPO Patents = 3 (Patent Applications = 23)

Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 54(Granted Patents)

Forward Citations (Not Self Cited) = 34(Dec 10, 2025)

Inventors with similar research interests:

Company Filing History:

67 out of 56,222

Intel Corporation

patents

1 out of 834,350

Other

patents

Years Active: 2014-2026

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Areas of Expertise:

Graphics Processing Unit

Video Coding

Adaptive Encoding

Low Latency

Cloud Rendering

Content Protection

Multi-Adapter Encoding

Image Processing

HDR Enhancement

Automotive Applications

Deep Learning

360 Video Capture

68 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12713058 - ADAPTIVE FOVEATED ENCODER AND GLOBAL MOTION PREDICTOR (2026-08-18),

2. 12627723 - Media streaming endpoint (2026-05-12),

3. 12572997 - Graphics processing unit processing and caching improvements (2026-03-10),

4. 12493922 - Graphics processing unit processing and caching improvements (2025-12-09),

5. 12483711 - Method and system of video coding with fast low-latency bitstream size control (2025-11-25),

6. 12393471 - Methods and apparatus to align media workloads (2025-08-19),

7. 12370453 - Anti-cheat game technology in graphics hardware (2025-07-29),

8. 12348767 - Adaptive foveated encoder and global motion predictor (2025-07-01),

9. 12243496 - Glare and occluded view compensation for automotive and other applications (2025-03-04),

10. 12192478 - Adaptively encoding video frames using content and network analysis (2025-01-07),

11. 12167014 - Technology to use video source context information in post-processing operations (2024-12-10),

12. 12166986 - Adaptive quality boosting for low latency video coding (2024-12-10),

13. 12164922 - Processing of data by multiple graphic processing devices (2024-12-10),

14. 12108029 - Method and system of video coding with efficient frame loss recovery (2024-10-01),

15. 12003760 - Adaptive foveated encoder and global motion predictor (2024-06-04),

Title: Innovator Spotlight: Changliang Wang

Introduction: Changliang Wang is a pioneering inventor based in Bellevue, WA, with a remarkable portfolio of 60 patents to his name. His innovations primarily focus on enhancing user experience in automotive applications and video encoding technologies, reflecting his commitment to addressing real-world challenges through clever design.

Latest Patents: Among Wang's latest patents is one that addresses glare and occluded view compensation in automotive environments. This patent outlines methods to reduce glare on dashboard screens, a common issue for drivers, especially during long journeys. It proposes innovative solutions that allow for improved visibility and safety. Another significant patent involves adaptively encoding video frames using content analysis and network feedback. This technology enables real-time adjustments to frame rates and resolutions, ensuring high-quality video streaming even under varying network conditions.

Career Highlights: Changliang Wang has built a notable career, with key contributions to technological advancements during his tenure at Intel Corporation. His expertise in integrating hardware and software solutions has positioned him at the forefront of innovations in multimedia communication and automotive safety systems.

Collaborations: Wang has had the opportunity to collaborate with talented colleagues such as Yunbiao Lin and Joydeep Ray. Together, they have contributed to the development of cutting-edge technologies that enhance user interaction with devices and improve overall functionality in different applications.

Conclusion: Changliang Wang's impressive array of patents and collaborative efforts showcases his dedication to innovation and improvement in technology. His work not only addresses current user needs but also paves the way for future advancements in automotive and multimedia applications.