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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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[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）
