This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Huawei Technologies Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Chenhan Jiang in Neural Network Construction
Introduction
Chenhan Jiang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence, particularly in the development of neural network construction methods. His innovative approach aims to enhance the accuracy and efficiency of neural networks, making them applicable across various scenarios.
Latest Patents
Chenhan Jiang holds a patent for a "Neural network construction method and apparatus." This invention focuses on accurately and efficiently constructing a target neural network. The constructed neural network boasts high output accuracy and strong generalization capabilities. The method involves obtaining a start point network, which consists of multiple serial subnets. It includes performing transformations on the start point network based on a preset search space to create a serial network. If the serial network meets specific conditions, it is trained using a designated dataset to yield a trained serial network. Ultimately, if this trained network meets termination conditions, a target neural network is obtained.
Career Highlights
Chenhan Jiang is currently employed at Huawei Technologies Co., Ltd., a leading global technology company. His work at Huawei has allowed him to push the boundaries of artificial intelligence and contribute to advancements in neural network technologies.
Collaborations
He collaborates with talented coworkers, including Hang Xu and Zhenguo Li, who share his passion for innovation in technology.
Conclusion
Chenhan Jiang's work in neural network construction exemplifies the potential of artificial intelligence to transform various applications. His innovative methods and dedication to accuracy and efficiency continue to influence the field significantly.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile