Siyuan Qiao

This inventor holds 4 USPTO granted patents. Top assignee: Adobe, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Siyuan Qiao. Retrieved from https://idiyas.com/inventor/siyuan-qiao

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

USPTO Granted Patents = 4

% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)

Company Filing History:

4 out of 7,289

Adobe, Inc.

patents

Years Active: 2023-2026

Loading Chart...

4 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12718101 - Compression of machine learning models (2026-08-25),

2. 12079725 - Convolutional neural networks with adjustable feature resolutions at runtime (2024-09-03),

3. 11790234 - Resource-aware training for neural networks (2023-10-17),

4. 11551093 - Resource-aware training for neural networks (2023-01-10),

Title: Inventor Siyuan Qiao - Revolutionizing Technology in Baltimore

Introduction: Siyuan Qiao is a visionary inventor based in Baltimore, MD, known for his groundbreaking contributions to the field of technology.

Latest Patents: Siyuan Qiao holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing his innovative mindset and forward-thinking approach.

Career Highlights: With a background in engineering and computer science, Siyuan Qiao has had a successful career marked by a series of inventions that have pushed the boundaries of what is possible in the tech industry.

Collaborations: Throughout his career, Siyuan Qiao has collaborated with leading research institutions and tech companies to bring his inventions to life, fostering a culture of innovation and creativity in the field.

Conclusion: Siyuan Qiao's passion for innovation and his relentless pursuit of technological advancement make him a prominent figure in the world of inventors, with his work continuing to inspire future generations of innovators.

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]