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付赛际
- 教师英文名称：Fu Saiji
- 电子邮箱：fusaiji@bupt.edu.cn
- 所在单位：经济管理学院
- 学历：研究生毕业
- 性别：女
- 学位：博士学位
- 职称：讲师（高校）
- 在职信息：在职
- 毕业院校：中国科学院大学
- 学科：管理科学与工程*
- 所属院系：经济管理学院
访问量：
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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）
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[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）
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[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）
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[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）
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[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）
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[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）
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[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）
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[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）
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[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）
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[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）
