Oviedo, FL, United States of America

Kaiqiang Song

This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaiqiang Song. Retrieved from https://idiyas.com/inventor/kaiqiang-song

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 = 2.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Inventor Kaiqiang Song

Introduction

Kaiqiang Song is an accomplished inventor based in Oviedo, FL (US). He has made significant contributions to the field of automatic text summarization. His innovative work focuses on enhancing the performance of summarization tasks through advanced methodologies.

Latest Patents

One of his notable patents is the "Generative text summarization system and method." This invention discloses a generative automatic text summarization system that adopts a search and reranking strategy to improve summarization performance. The system employs a transformer neural model trained to learn human abstracts, enabling it to generate abstractive summaries. With multiple summary hypotheses generated, a best-first search algorithm and reranking algorithm are utilized to select the best candidate summary as part of the output.

Career Highlights

Kaiqiang Song is currently associated with Robert Bosch GmbH, where he continues to innovate and contribute to advancements in technology. His work has garnered attention for its practical applications in various industries.

Collaborations

He collaborates with talented individuals in his field, including his coworker Bingqing Wang. Their combined expertise fosters a creative environment that drives innovation.

Conclusion

Kaiqiang Song's contributions to generative text summarization exemplify the impact of innovative thinking in technology. His work not only enhances summarization tasks but also showcases the potential of advanced neural models in practical 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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