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个人简介
My research interests lie in the intersection of data mining and business intelligence. Regarding domain sciences, I study business and management sciences, in particular, career transition pattern mining, intelligent career benchmarking, talent intelligence, e-commerce product linkage, e-commerce text analysis, etc. In terms of computational methodology, I study graph representation learning, self-supervised learning, knowledge graphs, large-scale language models, as well as their adaptation to the domains of interest. My general research agenda is to incorporate domain knowledge into the development of learning models in order to improve their predictive power; to apply data mining techniques to understand economic phenomena and discover domain insights that provide business values.
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论文共 29 篇作者统计合作学者相似作者
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AAAI 2024no. 15 (2024): 16623-16632
Hawaii International Conference on System Sciencespp.4333-4342, (2024)
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Yinping Pan,Denghui Zhang,Ruoting Yang,Junwen Zeng, Guangheng Wu,Wei Peng,Zhen Wang,Jie Ren,Lei Chen
Superconductor Science and Technologyno. 8 (2023): 085007-085007
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IEEE Transactions on Knowledge and Data Engineeringno. 7 (2023): 7239-7250
SUPERCONDUCTOR SCIENCE & TECHNOLOGYno. 8 (2023)
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ACS nanono. 16 (2023): 15466-15473
Nano lettersno. 17 (2023): 8043-8049
SUPERCONDUCTOR SCIENCE & TECHNOLOGYno. 12 (2023): 125003-125003
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IEEE Transactions on Knowledge and Data Engineeringno. 99 (2023): 1-13
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