Shenzhen, China

Lei Zou


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2021

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Lei Zou: Innovator in Natural Language Processing

Introduction: Lei Zou, an accomplished inventor based in Shenzhen, China, has made significant contributions to the field of information retrieval and processing. With a total of two patents to his name, Zou has focused on developing advanced methods for natural language question answering, showcasing his expertise and innovative thinking.

Latest Patents: Zou's latest patents revolve around a "Natural Language Question Answering Method and Apparatus." This innovative approach includes acquiring a natural language question and converting it into a query semantic graph, where each edge in the graph represents a semantic relation found in the question. The method further involves searching an RDF graph for a matching subgraph and obtaining the answer to the original question based on this subgraph. This technology stands to significantly enhance the efficiency and accuracy of information retrieval systems.

Career Highlights: Throughout his career, Lei Zou has worked for notable companies, including Peking University and Tencent Technology (Shenzhen) Company Limited. His roles at these prestigious organizations have allowed him to hone his skills and push the boundaries of technology in his field.

Collaborations: In his professional journey, Zou has collaborated with several talented individuals, including Tingting Liu and Yanxiong Lu. These partnerships have likely contributed to his ability to innovate and refine his methods in natural language processing.

Conclusion: Lei Zou is a prominent figure in the realm of information retrieval and processing. His patents not only reflect his innovative mindset but also his commitment to improving how machines understand and respond to human language. With ongoing advancements in this field, his work may continue to pave the way for more effective communication between humans and machines.

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