This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Fujitsu Corporation. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Chaoliang Zhong: Innovator in Multi-Goal Model Training
Introduction
Chaoliang Zhong is a prominent inventor based in Beijing, China. He has made significant contributions to the field of model training, particularly in developing innovative devices and methods for training multi-goal models. With a total of 2 patents to his name, Zhong is recognized for his forward-thinking approach to technology.
Latest Patents
Zhong's latest patents include a "Training device and training method for training multi-goal model." This invention provides a training device that incorporates a memory and a processor. The processor is designed to set a goal space, acquire various sub-goal spaces of differing difficulty levels, and facilitate the training of a multi-goal model based on transitions related to selected sampling goals. Another notable patent is focused on "Methods for estimating accuracy and robustness of model and devices thereof." This method involves calculating parameters that represent the likelihood of a sample appearing in different datasets, thereby enhancing the accuracy and robustness of models.
Career Highlights
Chaoliang Zhong is currently employed at Fujitsu Corporation, where he continues to innovate and contribute to advancements in technology. His work is characterized by a commitment to improving model training methodologies and enhancing the performance of machine learning systems.
Collaborations
Zhong collaborates with talented individuals such as Jun Sun and Ziqiang Shi, who share his passion for innovation and technology. Together, they work on various projects that push the boundaries of what is possible in their field.
Conclusion
Chaoliang Zhong is a notable inventor whose work in multi-goal model training is paving the way for future advancements in technology. His contributions are significant, and his patents reflect a deep understanding of complex model training processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
