Beijing, China

Lijie Liu

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Beijing Zitiao Network Technology Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lijie Liu. Retrieved from https://idiyas.com/inventor/lijie-liu-3fr8btis

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lijie Liu and Image Generation Technology.

Introduction

Lijie Liu is an inventor based in Beijing, China. His patent work includes a method for generating images of a target object in a different visual style using machine learning.

Latest Patents

Liu is associated with 1 patent: “Generating Image Method and Apparatus, Device, and Medium.” The disclosed method takes an initial image of a target object in a first image style and inputs it into a machine-learning model to produce a target image in a second style. The model is developed using training data that includes rendered simulations of the object in different states and styles.

Career Highlights

Liu is associated with Beijing Zitiao Network Technology Co., Ltd. His patent describes an approach to image generation that uses machine learning and rendered sample images to transform an object’s visual style.

Collaborations

Liu’s listed coworker is Qian He, who is a woman. The available information does not specify her role in the patent or the nature of their collaboration.

Conclusion

Lijie Liu’s patent focuses on machine-learning-based image generation, using rendered training examples to create images of a target object in a different style.

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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