Ge, Liyue
Zhang, Congxuan
Chen, Zhen
Lu, Ke
Feng, Cheng
Funding for this research was provided by:
Jiangxi Province Natural Science Foundation (2042BAB212013)
National Natural Science Foundation of China (62222206, 62272209)
Jiangxi Province Key Research and Development Program (20232BBE50006)
Jiangxi Province Major Research and Development Project (20232ACC01007)
Article History
Received: 20 December 2024
Accepted: 4 May 2025
First Online: 14 May 2025
Declarations
:
: The authors have no conflict of interest to declare that are relevant to the content of this article.
: The proposed method is strictlyconfined to scientific research. Synthetic data generated by thisframework will undergo rigorous screening to eliminate sensitive orharmful content, ensuring compliance with AI ethics guidelines andprivacy regulations.