Yingqi Qu

Title: Yingqi Qu: Innovator in Semantic Retrieval Networks

Introduction

Yingqi Qu, based in Beijing, China, is a distinguished inventor renowned for his contributions in the field of semantic retrieval networks. With a portfolio of 4 patents, he has made significant advancements that enhance the efficiency and effectiveness of information processing and retrieval systems.

Latest Patents

Yingqi Qu's latest patents include:

1. **Method and Apparatus for Training Semantic Retrieval Network, Electronic Device and Storage Medium** - This patent discloses a method for training a semantic retrieval network, which involves obtaining a training sample comprising a search term and multiple candidate files. The process incorporates inputting the training sample into both a ranking model and a semantic retrieval model, facilitating a joint training mechanism to improve retrieval accuracy.

2. **Method for Processing Information** - This patent outlines an innovative method for processing information, which begins with acquiring input information. It then determines execution details associated with the processing, including relevant memory and tool information, eventually leading to the generation of output information for feedback.

Career Highlights

Yingqi Qu has enriched his professional journey through his work at notable organizations such as Beijing Baidu Netcom Science and Technology Co., Ltd. His expertise in developing advanced technologies has positioned him as a vital contributor to the company's innovative landscape.

Collaborations

Throughout his career, Yingqi has collaborated with talented professionals, including Jing Liu and Hua Wu. These alliances have fostered an environment of creativity and problem-solving, contributing to the successful development of innovative technologies.

Conclusion

Yingqi Qu stands out in the realm of innovation, particularly in the development of semantic retrieval networks and information processing methods. His patents reflect a deep understanding of technology and its application in improving how information is retrieved and processed, showcasing his commitment to advancing the field of technology.