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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Paper Publications
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[21] Chen M, Zhang Y, Fu S, et al. Analysis of investment effect in Xinjiang from the perspective of nontraditional security[J]. Personal and Ubiquitous Computing, 2021: 1-11.（SCI, 中科院四区）
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[22] Tian Y, Fu S. A descriptive framework for the field of deep learning applications in medical images[J]. Knowledge-Based Systems, 2020, 210: 106445.（SCI, 中科院一区TOP，导师一作）
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[23] 吴宗友,田英杰,付赛际*.稀疏多视角学习及其在疾病诊断中的应用研究[J/OL].系统工程理论与实践:1-13[2022-09-27].http://kns.cnki.net/kcms/detail/11.2267.n.20220505.1820.012.html（CSSCI，自然科学基金委认定的A类期刊）
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[24] 孙世丁,邹小辉,付赛际,孙宇,鲁茁壮,田英杰.基于深度学习的七类病毒电镜图像自动识别[J].中华实验和临床病毒学杂志,2021,35(01):28-33.（CSCD，共同一作）
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[25] 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）
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[26] 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）
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[27] 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）
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[28] 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）
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