Siqi Xu

Title: **Innovative Contributions of Siqi Xu in Artificial Intelligence**

Introduction

Siqi Xu, an accomplished inventor based in Beijing, China, has made significant strides in the realm of artificial intelligence. With two patents to his name, Xu's work focuses on advancing methods related to data labeling and user app interest embedding.

Latest Patents

One of Siqi Xu's latest patents is a "Data labeling method based on artificial intelligence, apparatus and storage medium." This innovation pertains to the fields of data labeling, image recognition, and natural language processing. It outlines a method involving the determination of a plurality of samples involved in clustering, performing iterative processing until a convergence condition is met, and determining a clustering result based on received labeling information for the respective class clusters.

Another notable patent is the "Method, apparatus, device and storage medium for embedding user app interest." This solution involves acquiring a user's app installation information and inputting it into a pre-trained model to obtain a user app interest embedding vector. By integrating both existing and recent app installation data, it reflects the user's long-term and short-term interests effectively.

Career Highlights

Siqi Xu has worked with prominent companies, notably Beijing Baidu Netcom Science and Technology Co., Ltd. His contributions to these organizations emphasize his expertise in artificial intelligence and data processing technologies.

Collaborations

Throughout his career, Xu has collaborated with notable coworkers, including Huiqiang Zhong and Chenhui Liu. Working alongside talented professionals has further enriched his innovative capabilities.

Conclusion

Siqi Xu stands as a beacon of innovation in the field of artificial intelligence. His patents reflect a deep understanding of complex data processes, and his career is marked by significant contributions to the technology industry. As advancements in AI continue to unfold, Xu's work remains integral to shaping the future of data interaction and user experience.