Beijing, China

Xiaolan Luo

This inventor holds 1 USPTO granted patent. Top assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaolan Luo. Retrieved from https://idiyas.com/inventor/xiaolan-luo

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Xiaolan Luo: Innovator in Information Generation

Introduction

Xiaolan Luo is a prominent inventor based in Beijing, China. She has made significant contributions to the field of information generation through her innovative methods and apparatus. Her work is particularly relevant in the context of machine learning and data processing.

Latest Patents

Xiaolan Luo holds a patent titled "Method and apparatus for generating information." This patent outlines a comprehensive method that includes receiving a modeling request, determining a target number of initial machine learning pipelines, and executing model generation steps. The process involves generating new machine learning pipelines, performing model training, evaluating trained models, and determining a target trained model based on evaluation results. She has 1 patent to her name.

Career Highlights

Xiaolan Luo is associated with Beijing Baidu Netcom Science and Technology Co., Ltd., where she applies her expertise in machine learning and information generation. Her role at Baidu highlights her commitment to advancing technology and innovation in the digital landscape.

Collaborations

Xiaolan has collaborated with notable colleagues such as Liqiang Xue and Guobin Xie. These collaborations have further enriched her work and contributed to the development of innovative solutions in her field.

Conclusion

Xiaolan Luo is a key figure in the realm of information generation, with her patent showcasing her innovative approach to machine learning. Her contributions continue to influence the technology sector positively.

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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