Fu Saiji
讲师(高校)
Gender:
Female
Alma Mater:
中国科学院大学
Education Level:
研究生毕业
Degree:
博士学位
Status:
在职
School/Department:
经济管理学院
Discipline:
Management science and engineering *
E-Mail:
fusaiji@bupt.edu.cn
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Paper Publications
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[11] Fu S, Tian Y, Tang J, et al. Cost-sensitive learning with modified Stein loss function[J]. Neurocomputing, 2023, 525: 57-75.(SCI, 中科院二区TOP)
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[12] Tian Y, Yu X, Fu S. Partial label learning: taxonomy, analysis and outlook[J]. Neural Networks, 2023, 161:708-734.(SCI, 中科院一区TOP)
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[13] Tian Y, Liu M, Sun Y, Fu S*. When liver disease diagnosis encounters deep learning: Analysis, Challenges, and Prospects[J]. iLIVER, 2023, 2: 73-87. (卓越期刊)
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[14] Tang J, He H, Fu S, et al. Robust multi-view learning with the bounded LINEX loss[J]. Neurocomputing, 2023, 518: 384-400.(SCI, 中科院二区TOP)
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[15] Tian Y, Yu X, Fu S*. Multi‐view side information‐incorporated tensor completion[J]. Numerical Linear Algebra with Applications, 2022: e2485. (SCI, 中科院二区)
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[16] Zhao X, Fu S, Tian Y, et al. Asymmetric and robust loss function driven least squares support vector machine[J]. Knowledge-Based Systems, 2022: 109990.(SCI, 中科院一区TOP)
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[17] Fu S, Yu X, Tian Y. Cost sensitive ν-support vector machine with LINEX loss[J]. Information Processing & Management, 2022, 59(2): 102809.(SCI, 中科院一区TOP)
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[18] Fu S, Sun S, Wang X, et al. A brief overview of kernel methods with prior information[C]// International Conference on Information Technology and Quantitative Management, 2022, 199: 269-275.(EI, Best Paper)
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[19] Bai K, Fu S, Yang L, et al. Fine-grained attribute-aware analysis for person re-identification[C] //International Conference on Information Technology and Quantitative Management, 2022, 199: 276-283.(EI)
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[20] Tian Y, Fu S, Tang J. Incomplete-view oriented kernel learning method with generalization error bound[J]. Information Sciences, 2021, 581: 951-977.(SCI, 中科院一区TOP,导师一作)
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