Beijing, China

Haichao Deng

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Haichao Deng: Innovator in Data Mining Technology

Introduction

Haichao Deng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of data mining, particularly in the context of Internet big data processing technology. His innovative approach has led to the development of a unique patent that addresses the challenges associated with data identification and analysis.

Latest Patents

Haichao Deng holds a patent for a "Data mining method, data mining apparatus, electronic device and storage medium." This patent discloses a comprehensive method for data mining that includes acquiring a current article to be mined. The method involves obtaining information values required for each data identification strategy from the current article. Each strategy is designed to identify a preset type of data. The process culminates in identifying the data type of the current article and determining whether it belongs to any preset type of data based on the identification result.

Career Highlights

Haichao Deng is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His work at this leading technology company has allowed him to focus on advancing data mining techniques and contributing to the broader field of Internet technology. His expertise in data processing has positioned him as a key player in the industry.

Collaborations

Haichao Deng has collaborated with notable colleagues, including Qin Mao and Pei Zou. These partnerships have fostered an environment of innovation and have contributed to the successful development of his patent.

Conclusion

Haichao Deng's contributions to data mining technology exemplify the impact of innovative thinking in the realm of Internet big data processing. His patent reflects a significant advancement in the field, showcasing his dedication to improving data identification methods.

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