Guangdong, China

Jiasi Weng

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Guangdong, CN (2022 - 2023)
  • Guangzhou, CN (2023)

Company Filing History:


Years Active: 2022-2023

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5 patents (USPTO):Explore Patents

Title: Innovations of Jiasi Weng in Deep Learning and Vehicle Networking

Introduction

Jiasi Weng is a prominent inventor based in Guangdong, China. He has made significant contributions to the fields of deep learning and vehicle networking, holding a total of five patents. His innovative approaches focus on enhancing privacy protection and improving emergency reporting systems.

Latest Patents

One of Jiasi Weng's latest patents is the "Auditable privacy protection deep learning platform construction method based on blockchain incentive mechanism." This invention outlines a method for creating a collaborative deep learning platform that ensures privacy and auditing of shared parameters through blockchain technology. The method employs an encryption technique to safeguard the confidentiality of shared parameters, while also allowing for the decryption of updated parameters through collaboration among participants. Additionally, the parameters are stored on the blockchain, accessible only to authorized participants, ensuring the integrity and validity of the data.

Another notable patent is the "Method for constructing emergency reporting system of vehicle networking based on multi-signatures." This invention details a system that initializes an emergency reporting framework using a public-private key pair. It integrates authentication information to generate multi-signatures, which regulate traffic states effectively. This method enhances the efficiency of signature generation in vehicles with limited computing resources and mitigates the risk of rogue key attacks.

Career Highlights

Jiasi Weng is affiliated with Jinan University, where he continues to advance his research and development efforts. His work has garnered attention for its practical applications in enhancing security and efficiency in technology.

Collaborations

Jiasi Weng collaborates with notable colleagues, including Jian Weng and Ming Li, contributing to a dynamic research environment that fosters innovation.

Conclusion

Jiasi Weng's contributions to deep learning and vehicle networking exemplify the impact of innovative thinking in technology. His patents reflect a commitment to enhancing privacy and efficiency in modern systems.

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