Guangdong, China

Danwu Chen

This inventor holds 1 USPTO granted patent. Top assignee: Asml Netherlands B.v.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Danwu Chen. Retrieved from https://idiyas.com/inventor/danwu-chen-nj2hiuaj

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


% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Danwu Chen: Innovator in Machine Learning-Based Image Generation

Introduction

Danwu Chen is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of machine learning, particularly in image generation technologies. His innovative approach has led to the development of a unique method that enhances model base alignments.

Latest Patents

Danwu Chen holds a patent for a method titled "Machine learning based image generation for model base alignments." This patent describes a process for training a machine learning model to generate a predicted measured image. The method involves obtaining an input target image associated with a reference design pattern and a reference measured image linked to a specified design pattern printed on a substrate. Notably, both images are non-aligned, and the training is conducted using a hardware computer system to produce the predicted measured image.

Career Highlights

Danwu Chen is currently employed at ASML Netherlands B.V., a leading company in the semiconductor industry. His work focuses on advancing technologies that leverage machine learning for improved image processing and generation.

Collaborations

Danwu has collaborated with notable colleagues, including Qiang Zhang and Yunbo Guo. Their combined expertise contributes to the innovative projects at ASML Netherlands B.V.

Conclusion

Danwu Chen's work in machine learning and image generation exemplifies the innovative spirit of modern technology. His contributions are paving the way for advancements in the field, showcasing the potential of machine learning applications.

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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