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北京邮电大学
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付赛际
( 讲师(高校) )
赞
的个人主页 http://teacher.bupt.edu.cn/fusaiji/zh_CN/index.htm
讲师(高校)
性别:
女
毕业院校:
中国科学院大学
学历:
研究生毕业
学位:
博士学位
在职信息:
在职
所在单位:
经济管理学院
所属院系:
经济管理学院
学科:
管理科学与工程*
电子邮箱:
3743bbe3fd14aaa444fa0277779fdb3d658b74b96bad78b74a5c62d2d1c9f23ff9b6a820ab83c8c8304b39c0fd126c3feea95a8ac3405d1be5c0cdf005f96d7d5f7c639fab47dbf2bdbe3c0943d0b436e368f7bc2300626c95dd05d18e9059181af59cbce41e9e3213911acb703acb51a0088238bf8237ddbfd8e5c1c25442e8
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[1] Hou Z, Tang J, Li Y, Fu S, et al. MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification[J]. Information Sciences, 2024: 120467. (SCI,中科院一区TOP)
[2] Tang J, Yi Q, Fu S*, et al. Incomplete multi-view learning: Review, analysis, and prospects[J]. Applied Soft Computing, 2024: 111278.(SCI, 中科院一区TOP)
[3] Liu D, Fu S, Tian Y, et al. Universum driven cost-sensitive learning method with asymmetric loss function[J]. Engineering Applications of Artificial Intelligence, 2024, 131: 107849.(SCI, 中科院二区TOP)
[4] Fu S, Wang X, Tang J, et al. Generalized robust loss functions for machine learning[J]. Neural Networks, 2024, 171: 200-214.(SCI, 中科院一区TOP)
[5] Fu S, Wang X, Tian Y, et al. Coarse-grained privileged learning for classification[J]. Information Processing & Management, 2023, 60(6): 103506. (SCI, 中科院一区TOP)
[6] Fu S, Su D, Li S, et al. Linear-exponential loss incorporated deep learning for imbalanced classification[J]. ISA Transactions, 2023, 140: 279-292. (SCI, 中科院二区TOP)
[7] Tang J, Hou Z, Yu X, Tian Y, Fu S*. Multi-view cost-sensitive kernel learning for imbalanced classification problem[J].Neurocomputing, 2023, 552: 126562.(SCI, 中科院二区TOP)
[8] Fu S, Tian Y, Tang J. Iterative privileged learning for multi-view classification[C]// International Conference on Information Technology and Quantitative Management, 2023. (EI)
[9] Fu S, Tian Y, Tang L. Robust regression under the general framework of bounded loss functions[J]. European Journal of Operational Research, 2023, 310(3): 1325-1339. (ABS 4)
[10] Tian Y, Zhao X, Fu S*. Kernel methods with asymmetric and robust loss function[J]. Expert Systems with Applications, 2023, 213: 119236.(SCI, 中科院一区TOP)
[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)
[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)
[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)
[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)
[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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