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Cheng, Yan

Chen, Yanying

Huang, Zou

Li, Guowei

Yu, Gongcheng

Wang, Jiaqi

Yao, Yuxiao

Funding for this research was provided by:

the National Natural Science Foundation of China (62167006, 62167006, 62167006, 62167006, 62167006, 62167006, 62167006)

the Key project of China National Social Science Foundation (20AXW009, 20AXW009, 20AXW009, 20AXW009, 20AXW009, 20AXW009, 20AXW009)

the Jiangxi Province Natural Science Foundation project (20212BAB202017, 20212BAB202017, 20212BAB202017, 20212BAB202017, 20212BAB202017, 20212BAB202017, 20212BAB202017)

the Jiangxi Provincial Science and Technology Innovation Base Program Project - Jiangxi Provincial Key Laboratory of Intelligent Information Processing and Affective Computing (20242BCC32021, 20242BCC32021, 20242BCC32021, 20242BCC32021, 20242BCC32021, 20242BCC32021, 20242BCC32021)

Academic and Technical Leaders (Leading Talents) Project of Major Disciplines in Jiangxi Province (20213BCJL22047, 20213BCJL22047, 20213BCJL22047, 20213BCJL22047, 20213BCJL22047, 20213BCJL22047, 20213BCJL22047)

Text and Data Mining valid from 2025-03-10

Version of Record valid from 2025-03-10