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:
3743bbe3fd14aaa444fa0277779fdb3d658b74b96bad78b74a5c62d2d1c9f23ff9b6a820ab83c8c8304b39c0fd126c3feea95a8ac3405d1be5c0cdf005f96d7d5f7c639fab47dbf2bdbe3c0943d0b436e368f7bc2300626c95dd05d18e9059181af59cbce41e9e3213911acb703acb51a0088238bf8237ddbfd8e5c1c25442e8
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Research Field
- Fu S, Wen H, Wang X, et al. Self-improved multi-view interactive knowledge transfer[J]. Information Fusion, 2025, 114: 102718.（SCI，中科院一区TOP）
- Tian Y, Wen H, Fu S*. Multi-step ahead prediction of carbon price movement using time-series privileged information[J]. Expert Systems with Applications, 2024, 255: 124825.（SCI，中科院一区TOP）
- Tang J, Li Y, Hou Z, Fu S, et al. Robust two-stage instance-level cost-sensitive learning method for class imbalance problem[J]. Knowledge-Based Systems, 2024: 112143. （SCI，中科院一区TOP）
- Tang J, Liu B, Fu S*, et al. Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function[J]. Information Fusion, 2024: 102463.（SCI，中科院一区TOP）
- Fu S, Dong T, Wang Z, et al. Weakly privileged learning with knowledge extraction[J]. Pattern Recognition, 2024: 110517.（SCI，中科院一区TOP）
- 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）
Patents
Published Books
Research Projects
Research Team
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